167 Crewai Jobs - Page 3

Who are we looking for? Technical Lead - Fullstack Whats the story ? In India, there are more than 453+ million migrants. Less than 2% of this cohort uses mobile payments to send money home. While penetration of UPI and digital banking hit the ceiling, this invisible workforce that powers most of Bharat is still stuck in a cash economy and remains underbanked. branchX is India's first neobank enabling empathetic banking for migrant communities. Building banking that is meaningfully accessible to every aspiring Indian goes beyond the 9-5 bustle. If you are someone who derives fulfilment from purpose-led work with the ability to experiment, innovate, fail and iterate, branchX is the playground for you. Location: Navi Mumbai. About Us: Launched in June 2020, branchX is India's first neo-banking solution, enabling empathetic banking for migrant communities. Our vision is to transform the way underbanked communities manage money with a hand-holding grid aided by intelligent technologies. Headquartered in Navi-Mumbai, we are a 100+ member impact-driven team with offices in Noida, Bangalore, Kochi, Tamil Nadu, Kolkata and other locations. Where do you come into the picture? Seeking a highly skilled and experienced Ai Agentic Specialist to drive the design, development, and delivery of scalable, secure, and high-performing Output . We are seeking an Agentic AI Specialist to join our growing Fintech & AI team. In this role, you will develop AI agents capable of autonomous decision-making, with a focus on optimizing Point-of-Sale (POS) operations, inventory management, and real-time integrations. You will work on building intelligent task agents that can think, act, and make safe decisions across multiple steps with seamless interaction across APIs, analytics tools, and hardware triggers. What would a day in your life @ branchX look like? Our ideal Ai Agentic Specialist will have: Build and deploy autonomous task agents for use in operations like POS and inventory management Design agent workflows that support multi-step reasoning and safe decision-making Connect agents to external APIs , analytics dashboards , and hardware events/triggers Maintain and improve agent reliability , responsiveness, and performance in production Collaborate with developers, product managers, and system engineers to embed AI agents into business systems Required Skills: Experience with LangChain , CrewAI , or AutoGPT frameworks Understanding of reinforcement learning or reward-based agent training Familiarity with event-driven architectures and async systems Strong in Python programming and API integration Good problem-solving and debugging skills, especially in live environments Qualifications: Bachelor's or Masters degree in Computer Science, AI, Data Science, or related field 35 years of experience working with AI/ML systems, with at least 12 years focused on agent-based or autonomous systems Additional Benefits: Mediclaim insurance for employees Provident Fund (PF) contributions Supportive, innovation-first work culture Opportunities to work with cutting-edge AI systems in real-world business applications Why Join Us? Work at the forefront of autonomous AI and intelligent systems Get full ownership of projects that have real business impact Collaborate with a skilled, fast-moving team in a growing Fintech company Learn and apply the latest in AI tools, frameworks, and thinking What expertise & experiences would you need to have to play this kind of role? A strong leader capable of leading the company's growth with remarkable skills in Tech Leading

4–6 years of experience in Deep Learning, GenAI applications building. Deep learning model development and integration (scikit-learn, PyTorch, TensorFlow, Transformer). LLM AI workflow (LangGraph, CrewAI, LangChain , MCP, A2A etc.).

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI , Reinforcement Learning , and Natural Language Processing (NLP) to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation and decision-making and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, retrieval-augmented generation (RAG), and multi-agent coordination. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere Vector Search & Memory: Pinecone, FAISS, ChromaDB, Weaviate Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform Preferred Qualifications: Experience with agent orchestration tools like LangGraph , ReAct, or Toolformer. Exposure to real-time or asynchronous multi-agent systems. Familiarity with prompt engineering, context management, and RAG pipelines. Contributions to open-source agent/LLM projects or research publications in AI/ML. Why Join Us? Be part of an AI-first product company solving real-world automation and decision-making challenges. Work with a team of AI innovators and contribute to cutting-edge research and applications.

Required skills 5+ years of professional experience in building Machine Learning models & systems 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. Experience in driving the engineering team toward a technical roadmap. Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. Understanding of Cloud services, including Azure, GCP or AWS Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities: Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products. Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

What We’re Looking For: 3–4 years of experience in AI/ML, NLP, or Intelligent Automation Hands-on Python + Agentic AI frameworks (LangChain / Semantic Kernel / AutoGen / CrewAI etc.) Knowledge of LLM APIs, Vector Databases, RAG architectures

AI Intern (AI Agent Developer Intern) AI Intern Cutting-Edge AI Platform ???? Location: Bangalore (Hybrid) ???? Eligibility: Fresh graduates with prior AI project or internship experience MetAntz, a GenAI recruitment marketplace is hiring AI interns for one of its customers , a funded startup working in the area of AI observability. It would be a very exciting opportunity to work with cutting edge technologies with awesome mentors and a path to a full time role. The details of the role and company are shared below. About the Company A rapidly growing AI platform company working with global enterprises across healthcare, aerospace, financial services, and retail. The team is building next-gen tools to ensure reliable, secure, and high-performance AI adoption at scale. Job Description As an AI Intern (AI Agent Developer Intern), you`ll work at the cutting edge of AI automation and agent orchestration. This isn`t a research roleyou`ll be building production-grade AI agents that solve real-world problems across domains like operations, education, sales, and personal productivity. You`ll work closely with our leadership team to prototype, iterate, and ship fast, owning your work from start to finish. Key Responsibilities Design and develop AI Agents using LangChain, CrewAI, LangGraph, AutoGen (A2A), ADK and similar other platforms Build and orchestrate agent workflows using tools like n8n, Airflow, or LangGraph DAGs Integrate APIs, databases, vector stores (e.g., Pinecone, Chroma, Weaviate), and tools like OpenAI, Claude, Mistral, HuggingFace, etc. Write clean, modular, and testable code in Python (TypeScript is a plus) Rapidly prototype agentic workflows, test edge-cases, and iterate based on feedback Collaborate with design and product teams to shape user-centric workflows Ship minimal, usable versions and continuously improve them based on usage analytics Maintain documentation and contribute to internal knowledge bases Requirements Strong hands-on coding skills, especially in Python Previous experience building with LangChain, LangGraph, CrewAI, or similar frameworks Familiar with agent orchestration, tool chaining, multi-agent systems Quick learner, adaptable to new frameworks and libraries Strong problem-solving skills and autonomyable to take vague ideas to shipped features Comfortable working in a fast-paced, iterative startup environment Basic understanding of prompt engineering, LLM APIs, and memory management Exposure to n8n, Supabase, Firebase, PostgreSQL, Redis, or similar stacks Familiarity with version control (Git), basic CI,CD, and cloud platforms (Vercel, AWS, etc.) Bonus Skills (Nice to Have) Experience with frontend frameworks (Next.js, React) for building simple UIs Familiarity with RAG pipelines, embeddings, and document loaders Experience with Browser-based agents (e.g., Puppeteer, Selenium, or BrowserEnv) Familiarity with voice agents (e.g., Whisper, ElevenLabs) or mobile-first AI apps Interest or experience in shipping internal tools or SaaS prototypes What You`ll Get Direct mentorship from Team leads Opportunity to build and ship real, user-facing agentic applications Access to premium AI tools and credits (OpenAI, Claude, etc.) Exposure to early-stage startup building and ownership opportunities A fast-paced learning curve in the most exciting domain of 2025 AI Agents It is a paid internship. Show more Show less

Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates.

Required Skills 7+ years of professional Python development experience Hands-on experience with at least one agent framework (CrewAI, LangChain, LangGraph, or equivalent) Strong understanding of LLM capabilities, limitations, and prompt engineering Experience with RESTful API design and async Python (FastAPI preferred) Knowledge of vector databases and RAG (Retrieval Augmented Generation) systems Familiarity with financial or tax domains Demonstrated leadership in technical decision-making Excellent written and verbal communication skills Nice to Have Experience with AWS services, particularly Lambda and EKS Background in financial services or tax preparation software Knowledge of security and compliance requirements for financial data Previous startup experience, particularly in MVP development

Please find the below JD for your reference. Role: Senior AI/ML Engineer Experience: 8+ Years Job Description We are looking for an experienced AI/ML engineer to design and develop machine learning models for an innovative AI-powered consumer application that reviews contracts and assists with taxes. You will work closely with domain experts and software engineers to deliver accurate and user-friendly AI solutions. Key Responsibilities Develop and optimise machine learning models. Collaborate with domain experts to integrate product-specific knowledge into AI models. Implement natural language processing (NLP) techniques for document review and extraction. Ensure scalability, accuracy, and performance of the AI models. Stay updated on AI advancements and integrate relevant technologies. Required Skills Proficiency in Python, Pandas, TensorFlow, PyTorch, and Generative AI. Experience building AI agents using standard frameworks like Langchain, LangGraph, Pydantic AI, N8N, or Crew AI is required. Strong background in natural language processing (NLP/NLU) Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques. Familiarity with data preprocessing and annotation for unstructured data. Ability to deploy models in a cloud-based environment (GCP, AWS). Proficiency in Vertex AI is preferred.

Data Scientist Gen AI & Agentic AI Experience: 2+ Years Location: Jaipur (WFO) Employment Type: Full-time About the Role: We are looking for a highly motivated Data Scientist with experience in Generative AI , Agentic AI , and a strong consulting mindset. This is a client-facing role that blends deep technical expertise with the ability to understand and solve business problems through cutting-edge AI technologies. You’ll be part of a forward-thinking team working on impactful projects in AI transformation across industries. Key Responsibilities: Design, develop, and deploy AI/ML solutions with a focus on Generative AI (e.g., LLMs, prompt engineering) and Agentic AI frameworks . Collaborate with clients and internal stakeholders to understand business needs and translate them into AI solutions. Prototype and implement intelligent agent-based systems for automation, decision-making, and conversational interfaces. Build proof-of-concepts (POCs), MVPs, and production-ready solutions in real-world business environments. Work on data preparation, model fine-tuning, and evaluation of large language models (LLMs). Present insights, solutions, and progress to clients in a clear and consultative manner. Stay current with AI trends and contribute to internal knowledge-sharing and innovation. Required Qualifications: 2+ years of experience in Data Science, with hands-on exposure to Generative AI and LLMs (e.g., OpenAI, Cohere, Hugging Face). Experience with Agentic AI concepts or frameworks like LangChain, AutoGen, CrewAI, or similar. Strong Python programming skills and familiarity with ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Consulting or client-facing experience with the ability to translate business needs into technical requirements. Good understanding of NLP, prompt engineering, and conversational AI workflows. Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related fields. Preferred Qualifications: Experience in building AI solutions for enterprise clients. Familiarity with MLOps and deploying models to production. Prior experience with cloud platforms (AWS, Azure, or GCP). Knowledge of vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) techniques. What We Offer: Exciting projects at the intersection of AI, automation, and enterprise transformation. A collaborative and fast-paced environment focused on innovation. Opportunities for continuous learning and professional growth. Flexible working model with Jaipur as the base location.

What You’ll Do: Hands-on with LangChain / Semantic Kernel / CrewAI / AutoGen Experience in LLMs, APIs, Cloud, Vector DBs, RAG Strong Python + AI/ML/NLP background

Project description We're seeking a strong and creative Software Engineer eager to solve challenging problems of scale and work on cutting edge technologies. In this project, you will have the opportunity to write code that will impact thousands of users every month. You'll implement your critical thinking and technical skills to develop cutting edge software, and you'll have the opportunity to interact with teams across disciplines. In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. In this new adventure, you will have the opportunity to collaborate with a world-class team in the field of Insurance by building a holistic solution, interacting with multidisciplinary teams. Responsibilities Build scripts that can handle parallel and batch processing and ensure execution with best performance parameters. Fine Tune existing scripts for performance Manage the end-to-end development using Python Should be able to bring best standards and practices in python coding from previous experience. Skills Must have Minimum 6+ years of relevant professional experience on core Python development and CrewAI(open source multiagent orchestration framework) mandatory Automate multiagent workflows using CrewAI Should be hands-on at scripting, programming especially in Python Should be capable of designing the program independently e.g. Python wrappers around other programs / scripts Should have been working on Agile DevOps culture [ADO ] Kanban and sprints. Should be senior enough for matured interactions internally and with Clients Nice to have Knowledge of Open Telemetry , SDK, APIs and client server models Acquaintance with IBM Z mainframe systems and relevant components like Omnibus, MQ, CICS, DB2, IMS Exposure to Monitoring cum observability domain Other Languages English: C2 Proficient Location - Pune,Bangalore,Hyderabad,Chennai,Noida

Job Role: Generative AI Engineer Intern Company: Growhut Technologies Private Limited Job Type: Full-Time Internship Location: Remote Stipend: INR 15,000 - 20,000 per month Duration: 6 Months ???? About Growhut At Growhut , were not just building AI products were shaping the future of intelligent systems. We create real-world impact by developing AI solutions that blend human intuition with machine precision, across language, vision, and agentic automation. As a fast-growing AI lab, we work with global clients and build our own in-house products including voice AI, agent orchestration tools, and futuristic collaboration systems. Now, were looking for Generative AI Engineer Interns who are obsessed with building agentic AI systems systems that dont just answer questions but get things done. ???? The Role: Generative AI Engineer Agentic AI (Internship) As an intern at Growhut, youll work at the cutting edge of agentic workflows , using multi-agent frameworks to build systems that reason, plan, and execute in real time. Youll collaborate with a team of builders to implement AI systems that combine LLMs, RAG pipelines, multi-modal processing , and tool-use agents . ???? What Youll Do Design, build, and test agentic AI workflows using frameworks like Krivya, LangGraph, CrewAI, AutoGen , or Autogen Studio . Integrate LLMs (GPT-4, Claude, Lamma, etc.) into real-world automation pipelines with live APIs and tool usage. Deploy autonomous agents that can perform tasks such as research, document generation, summarization, and coordination. Work with retrieval-augmented generation (RAG) techniques, memory systems, and context-aware task planning. Experiment with prompt chaining, long-term memory, and multi-agent collaboration protocols. Contribute to building scalable backend infrastructure for inference, tool integration, and async workflows. Collaborate on internal research initiatives and proof-of-concept projects in AI-human collaboration. ???? Technical Requirements Were looking for someone with hands-on experience or a firm grasp of the following: Must-Have: Strong understanding of Agentic AI , multi-agent workflows, and orchestration strategies. Experience with open-source frameworks like LangGraph, Krivya, AutoGen, CrewAI , or similar tools. Familiarity with vector databases (e.g., Pinecone, Weaviate, Qdrant) and RAG systems . Proficiency in Python , and working knowledge of LangChain , Transformers , and Prompt Engineering . Exposure to LLMs (e.g., GPT-4, Claude, Gemini, Mistral) and their APIs. Comfort with cloud-managed services : AWS Bedrock, Google Vertex AI, or Azure OpenAI. Understanding of tool calling , function calling , and memory management in LLM contexts. Familiarity with LiveKit , real-time communication protocols, and event-driven systems. Nice-to-Have: Experience with audio/voice models or multi-modal agents . There is interest in task decomposition strategies like ReAct, Tree of Thought, and Plan-and-Execute. Exposure to LangChain Expression Language (LCEL) and custom agent toolkits. ???? Why Join Growhut Build Real Systems : Not just research youll build end-to-end agentic products for real users. Mentorship from Experts : Collaborate with a team thats pushing boundaries in AI and automation. Global Exposure : We work with clients and users around the world across BFSI, health, SaaS, and beyond. Cutting-Edge Infrastructure : Work on high-impact projects using the latest open-source tools and enterprise-grade services. ???? The Growhut Difference At Growhut, we believe in building executional AI systems that dont just predict or inform but actually act . Were creating the infrastructure of tomorrows autonomous work. Youll get to build with full-stack agents that talk, listen, plan, and execute across real-world workflows. ?? Ready to Apply If youre serious about building the next generation of autonomous AI agents , apply now and join us in building the future one agent at a time. Show more Show less

About the Role We are seeking a Agentic AI Developer with 35 years of total software/AI experience and proven hands-on work in Agentic AI . The ideal candidate has built LLM-powered agents using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel, and can design, deploy, and optimize autonomous AI systems for real-world business use cases. Key Responsibilities Architect, build, and deploy LLM-driven agents that can plan, reason, and execute multi-step workflows. Work with agent orchestration frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, Haystack, etc.). Develop and maintain tools, APIs, and connectors for extending agent capabilities. Implement RAG pipelines with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.). Optimize prompts, workflows, and decision-making for accuracy, cost, and reliability . Collaborate with product and engineering teams to design use-casespecific agents (e.g., copilots, data analysts, support agents). Ensure monitoring, security, and ethical compliance of deployed agents. Stay ahead of emerging trends in multi-agent systems and autonomous AI research . Required Skills 35 years of professional experience in AI/ML, software engineering, or backend development . Demonstrated hands-on experience in building agentic AI solutions (not just chatbots). Proficiency in Python (TypeScript/JavaScript is a plus). Direct experience with LLM APIs (OpenAI, Anthropic, Hugging Face, Cohere, etc.). Strong knowledge of vector databases and embeddings . Experience integrating APIs, external tools, and enterprise data sources into agents. Solid understanding of prompt engineering and workflow optimization . Strong problem-solving, debugging, and system design skills. Nice to Have Experience with multi-agent systems (agents collaborating on tasks). Prior contributions to open-source agentic AI projects . Cloud deployment knowledge ( AWS/GCP/Azure ) and MLOps practices. Background in reinforcement learning or agent evaluation . Familiarity with AI safety, monitoring, and guardrails . What We Offer Work on cutting-edge AI agent projects with direct real-world impact. Collaborative environment with strong emphasis on innovation & experimentation . Competitive salary and growth opportunities. Opportunity to specialize in one of the fastest-growing areas of AI . Show more Show less

5+ years experience in Python Hands-on with agentic frameworks like Agno, Google ADK, LangGraph Experience with RESTful APIs, microservices, and event-driven architectures Experience: AWS, Azure, GCP, Docker, Kubernetes Proficient in PostgreSQL

We are looking for an AI & Agentic Developer to join our product team. This role is for someone who has worked with AI tools, LLMs (like ChatGPT, Claude), and agent frameworks (LangChain, CrewAI, AutoGen). If you love building smart AI systems and applications that can work on their own, integrate with APIs, and solve real problems is the right role for you. Responsibilities: Build and integrate AI-powered applications using LLMs and AI APIs (OpenAI, Claude, Hugging Face). Create and manage AI agents using tools like LangChain, CrewAI, and AutoGen. Use prompt engineering to improve AI results and user experience. Work with vector databases (Pinecone, FAISS, Chroma) for AI search and knowledge retrieval. Collaborate with developers, designers, and researchers to build smart solutions. Deploy applications using Docker, Kubernetes, Vercel, Railway, and Supabase . Ensure applications run smoothly, are scalable, and perform well. Required Skills: 45 years of experience in AI/ML or Full Stack Development with AI integration . Strong knowledge of Python, JavaScript, React.js, Next.js, Node.js, and TypeScript . Experience with AI APIs (OpenAI, Claude, Hugging Face). Hands-on with LangChain, AutoGen, CrewAI, and similar frameworks. Understanding of prompt engineering and AI search (vector databases) . Knowledge of PostgreSQL, Supabase, Railway, Vercel . Comfortable using AI coding assistants like GitHub Copilot, Cursor, Tabnine . Good problem-solving, teamwork, and communication skills. Tech Stack Youll Use: Frontend: React, Next.js Backend: Node.js, Python Database: PostgreSQL, Supabase AI Tools: OpenAI, Claude, LangChain, CrewAI, AutoGen Vector DBs: Pinecone, FAISS, Chroma Deployment Tools: Docker, Kubernetes, Vercel, Railway, n8n Dev Tools: GitHub, Copilot, Cursor, Tabnine Why Join Us? Work on real AI innovation with the latest tools. Be part of a fast-growing and creative team . Build applications that make an impact. Grow your skills in the exciting world of AI .

Should have exp with Agen c frameworks like Crew AI, Lang, graph, Swarm AI etc. Must have contributed significantly to the development of at least 2 Gen AI projects. Must have worked with mul ple Gen AI models including GPT, Claude, Qwen, Lama etc.

Are you ready to move beyond theory and build the future of Artificial Intelligence Join Splashgain's R&D team as an AI Engineer Intern and embark on a groundbreaking journey. This internship goes beyond observation; it is a deep-dive, immersive program where you will play a crucial role in foundational projects in Generative AI. Your primary mission will be to push the boundaries of Large Language Models (LLMs) and create autonomous AI agents that can elegantly solve complex problems with AI-driven solutions. As an AI Engineer Intern, your day-to-day responsibilities will include building AI solutions utilizing LLMs such as GPT, Claude, LLaMA, and Mistral. You will be tasked with developing chatbots, AI agents, and document analyzers. Additionally, you will work with RAG, vector databases, and engage in prompt engineering. Familiarity with frameworks like LangChain, LlamaIndex, and CrewAI will be essential as you evaluate and optimize AI models for production. Collaboration with product teams on real-world projects will also be a key aspect of your role. Splashgain Technology Solutions Private Limited, the company behind this exciting opportunity, is an award-winning software product company specializing in the ed-tech segment. Their acclaimed software platforms are widely utilized by various organizations and educational institutions, making a significant impact in the industry.,

As an AI developer specializing in LLMs, multi-ai-agentic systems, and AI reasoning frameworks, you will be expected to have hands-on experience with Langchain, LangGraph, and CrewAI. You should possess strong programming skills in Python for AI development and be familiar with ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning. Experience with tools such as Google Cloud, Vertex AI, and CI/CD automation is required to excel in this role. Your responsibilities will include evaluating AI model performance, scalability, and efficiency, as well as having knowledge of multi-agent coordination, reinforcement learning, and distributed AI. You should be able to assess models and write evaluation code, demonstrating your strong problem-solving skills for AI system optimization and troubleshooting. This role as an AI developer requires a BTECH degree and proficiency in key skills such as GENAI, GENAI DEVELOPER, and PYTHON. If you are passionate about pushing the boundaries of AI technology and have a keen interest in developing innovative solutions, this full-time, permanent position as an AI developer at our organization could be the perfect fit for you. Recruiter Name: Kathiravan G Job Code: GO/JC/807/2025,

As a Backend Engineer for our team, you will be a key player in the development of cutting-edge Agentic AI platforms. Your primary responsibility will be to design and implement scalable backend systems that empower autonomous AI agents to seamlessly integrate with enterprise systems and data platforms. You will have the opportunity to work with a diverse team of AI researchers, data scientists, and frontend developers on exciting technologies such as LLMs, multi-agent orchestration, prompt engineering, and real-time adaptive learning systems. Your main tasks will include designing, developing, and maintaining modular and scalable components for autonomous software agents. You will be expected to integrate backend services with modern LLM frameworks like LangChain, LangGraph, and CrewAI. Additionally, you will develop APIs, microservices, and orchestration pipelines to manage multi-agent workflows and contribute to business process automation and CRM integration. You will work closely with enterprise platforms such as Salesforce, Power Platform, and Microsoft Copilot Studio, fine-tuning large and small language models using proprietary datasets, especially from NBFC domains. Furthermore, you will collaborate with the AI teams on model evaluation and optimization pipelines using GCP, BigQuery, and related tools. Your role will also involve developing lightweight learning frameworks that enhance user interactions and implementing real-time models and rules-based decision engines for adaptive automation. You will work on features that enable agents to self-improve over time based on historical performance and results. To excel in this role, you must be proficient in Python and Node.js, with a working knowledge of JavaScript, Java, or React. Familiarity with technologies such as LangChain, LangGraph, Semantic Kernel, CrewAI, Agent Development Kit (ADK), and Multi-agent Communication Protocol (MCP) will be advantageous. Experience with RESTful APIs, WebSockets, Express.js, FastAPI, Microservice architecture, GCP, MS Azure, BigQuery, Power Apps, Power BI, CI/CD tools, containerization (Docker, Kubernetes), prompt engineering, model orchestration, LLM integration, and SQL/NoSQL databases is essential for success in this role. Join our team and be part of building the next generation of AI platforms that revolutionize the way businesses harness the power of artificial intelligence.,

You should be an expert in LLMs, multi-ai-agentic systems, and AI reasoning frameworks with hands-on experience in Langchain, LangGraph, and CrewAI. Strong programming skills in Python for AI development are essential, along with familiarity in ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning. Experience with Google Cloud, Vertex AI, and CI/CD automation is required to excel in this role. You must possess the ability to evaluate AI model performance, scalability, and efficiency. Knowledge of multi-agent coordination, reinforcement learning, and distributed AI will be beneficial. Your role will involve evaluating models, writing evaluation code, and applying strong problem-solving skills for AI system optimization and troubleshooting. As a RoleGen AI developer, you will work in the IT/Computers - Software industry. A BTECH degree is required for this full-time, permanent position. Key skills include expertise in GENAI, GENAI Developer, and Python programming. If you are passionate about AI development and possess the necessary skills and qualifications, this role offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects. Recruiter Name: Kathiravan G,

Are you ready to move beyond theory and build the future of Artificial Intelligence Join Splashgain's R&D team as an AI Engineer Intern and embark on a groundbreaking journey. This internship is not just about observation; it's a deep-dive, immersive program where you will play a vital role in foundational projects related to Generative AI. Your mission will involve exploring the frontiers of Large Language Models (LLMs) and developing autonomous AI agents to tackle complex problems with elegant AI-driven solutions. As an AI Engineer Intern at Splashgain, your day-to-day responsibilities will include building AI solutions using LLMs such as GPT, Claude, LLaMA, and Mistral. You will also be tasked with developing chatbots, AI agents, and document analyzers, working with RAG, vector databases, and prompt engineering, as well as utilizing frameworks like LangChain, LlamaIndex, and CrewAI. Additionally, you will evaluate and optimize AI models for production and collaborate with product teams on real-world projects. Splashgain Technology Solutions Private Limited is an award-winning software product company operating in the ed-tech sector. Our innovative software platforms have garnered recognition and are widely utilized by various organizations and educational institutions. Join us in shaping the future of AI and making a meaningful impact in the field of technology.,

You should have a minimum of 4 years of experience for this role. Your key responsibilities will include proficiency in Python (preferred), along with a working knowledge of TypeScript/Node.js, Go, or Java. You should have hands-on experience in developing REST APIs, GraphQL endpoints, and/or gRPC-based services. It is expected that you are familiar with integrating LLMs like GPT-4, Claude, Gemini, Mistral, or LLaMA. Additionally, exposure to frameworks such as LangChain, LlamaIndex, or CrewAI is desirable. A basic understanding of vector databases and semantic search tools (e.g., FAISS, Pinecone) is also required. Moreover, experience working in cloud environments (AWS, GCP, Azure) and with containerization tools (Docker, Kubernetes) is essential for this role. Ideally, you should have backend or full-stack development experience, with a focus on working with Generative or Agentic AI solutions.,

At InfoBeans, we believe in making other people's lives better through our work and everyday interactions. As an AI ML Lead based in Indore/Pune with over 10 years of experience in Artificial Intelligence, your role will involve designing AI solutions using both traditional ML and GenAI approaches based on problem needs. You will lead the end-to-end implementation of ML projects, including data preparation, model development, deployment, and monitoring. Additionally, you will be responsible for building GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks like LangChain and LangGraph. Your responsibilities will also include conducting research and proof-of-concepts to evaluate emerging GenAI models and techniques, guiding and mentoring junior engineers, and reviewing designs, architecture, and code quality. You will develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, and Cohere, and build agentic AI systems involving tool use, memory, and reasoning frameworks. Furthermore, you will ensure that AI models are robust, explainable, and cost-efficient in production and collaborate with stakeholders to understand business goals and translate them into technical solutions. Communication of complex AI concepts to both technical and non-technical audiences is also a key aspect of this role. This strategic position will allow you to play a crucial part in shaping the AI offerings of the company, guiding teams, and solving complex problems using both modern and established AI techniques. In this role, you will enjoy a competitive package and work in an open workspace surrounded by smart and pragmatic team members. You will have ample opportunities for professional and personal growth in a learning culture that values teamwork, collaboration, diversity, excellence, compassion, openness, and ownership. To excel in this role, we are looking for an experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. You should have extensive experience in classical AI/ML and at least 3 years in GenAI, totaling 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. Your expertise should include 6-7 years in traditional ML/DL and 2-3 years in Generative AI. Proficiency with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers is essential, along with an understanding of the ML lifecycle and deep experience with LLMs and related tools. Strong communication, presentation skills, and a research mindset are also important for this role. If you possess the ability to quickly learn and adapt to new GenAI technologies, assess trade-offs between classic and generative AI techniques, and recommend the best-fit approach, we would like you to join our team and contribute to our AI initiatives.,

You have 5+ years of backend or full-stack development experience, including a minimum of 3 years specializing in Generative and Agentic AI. Your expertise lies in creating APIs utilizing REST, GraphQL, and gRPC, emphasizing on performance, versioning, and security. Proficiency in Python is required, with additional knowledge in TypeScript/Node.js, Go, or Java. You should possess a deep understanding of LLM integration and orchestration (OpenAI, Claude, Gemini, Mistral, LLaMA, etc.). Moreover, you must have hands-on experience with frameworks like LangChain, LlamaIndex, CrewAI, and Autogen. Familiarity with vector search, semantic memory, and retrieval-based augmentation tools such as FAISS or Qdrant is preferred. A solid grasp of cloud infrastructure (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes) is also essential for this role.,