Job Description: Sr. Software Engineer (Python) Company: Karini AI Location: Pune (Wakad) Experience Required: 3 - 5 years Compensation: Not Disclosed Role Overview : We are seeking a skilled Sr. Software Engineer with advanced Python skills with a passion for product development and a knowledge of Machine Learning and/or Generative AI. You will collaborate with a talented team of engineers and AI Engineers to design and develop high-quality Generative AI platform on AWS. Key Responsibilities : Designed and developed backend applications and APIs using Python. Work on product development, building robust, scalable, and maintainable solutions. Integrate Generative AI models into production environments to solve real-world problems. Collaborate with cross-functional teams, including data scientists, product managers, and designers, to understand requirements and deliver solutions. Optimize application performance and ensure scalability across cloud environments. Write clean, maintainable, and efficient code while adhering to best practices. Requirements : 3-5 years of hands-on experience in Product development. Demonstrable experience in understanding advanced python concepts for building scalable systems. Demonstrable experience working with FastAPI server in production environment. Familiarity with unit testing, version control and CI/CD Good understanding of Machine Learning concepts and frameworks (e.g., TensorFlow, PyTorch). Experience with integrating and deploying ML models into applications is a plus. Knowledge of database systems (SQL/NoSQL) and RESTful API development. Exposure to containerization (Docker) and cloud platforms (AWS). Strong problem-solving skills and attention to detail. Preferred Qualifications : Bachelor of Engineering in Computer Science, Information Technology, or any other engineering discipline. M.Tech, M.E. & B.E-Computer Science preferred. Hands-on experience in product-focused organizations. Experience working with data pipelines or data engineering tasks. Knowledge of CI/CD pipelines and DevOps practices. Familiarity with version control tools like Git. Interest or experience in Generative AI or NLP applications. What We Offer: Top-tier compensation package, aligned with industry benchmarks. Comprehensive employee benefits including Provident Fund (PF) and medical insurance. Experience working with Ex-AWS founding team with the fastest growing company. Work on innovative AI-driven products that solve complex problems. Collaborate with a talented and passionate team in a dynamic environment. Opportunities for professional growth and skill enhancement in Generative AI A supportive, inclusive, and flexible work culture that values creativity and ownership.
Job Description: Sr. Full Stack Developer(NextJS, ReactJS,Node.JS) Company: Karini AI Location: Pune (Wakad) Experience Required: 5 - 10 years Compensation: Not Disclosed Role Overview We seek a dynamic and talented Full-Stack Developer with expertise in Next.js, React.js, and Node.js and a solid background in product development . You will work to build a cloud-scale platform in the cutting-edge field of Generative AI. This role requires a versatile professional who is comfortable working across the stack to deliver robust, high-quality solutions. Key Responsibilities Frontend Development : Build and maintain user-friendly, high-performance web applications using Next.JS Backend Development : Design, develop, and optimize server-side applications and APIs using Node.js . Database Management : Develop and manage databases using MongoDB , ensuring data consistency and scalability. Cloud Deployment : Work with AWS Cloud Services to deploy, monitor, and scale applications. SaaS Product Development : Contribute to designing and developing scalable and secure SaaS platforms. Collaboration : Work closely with product managers, designers, and developers to deliver seamless user experiences. Code Quality : Write clean, maintainable, well-documented code and ensure adherence to best practices. Troubleshooting : Debug and resolve technical issues across the stack. Continuous Improvement : Stay current with emerging technologies and frameworks to continually enhance development processes. Required Skills 5-10 years of demonstrable hands-on experience in full-stack development with Next.js and Node.js Understanding of custom React components and advanced threading concepts Strong understanding of MongoDB and database design principles. Experience with AWS Cloud Services for deployment and scalability. Proven experience in developing and scaling SaaS products . Experience with authentication/authorization frameworks (OAuth, JWT). Familiarity with RESTful APIs and web application architecture. Solid understanding of software development lifecycle (SDLC) and Agile methodologies. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills Knowledge of DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes). Understanding of microservices architecture. Exposure to UI/UX design principles and tools. Rapid prototyping using Figma Education Qualification: Mandatory: Bachelor of Engineering in Computer Science, Information Technology, or any other engineering discipline. Preferred: M.Tech, M.E., & B.E. Computer Science What We Offer Work on innovative AI-driven products that solve complex problems. Collaborate with a talented and passionate team in a dynamic environment. Opportunities for professional growth and skill enhancement in Generative AI A supportive, inclusive, and flexible work culture that values creativity and ownership. Additional benefits such as PF and Medical benefits
Job Title: Technical Product Manager Location: Pune (Hybrid) Experience: 2-5 Years Company: Karini AI About Us Karini AI is at the forefront of building cutting-edge AI-powered solutions. We specialize in delivering high-impact AI, Gen AI, and data-driven products that help enterprises automate, optimize, and innovate. We are looking for a dynamic and hands-on Technical Product Manager who can drive product planning, market alignment, and GTM execution with a focus on design, competition mapping, and user-centric launches. Key Responsibilities: Define and manage the product roadmap , aligning with business goals and user needs Drive product launches , collaborating with cross-functional teams including engineering, design, marketing, and sales Conduct competitive analysis and market research to identify trends and strategic opportunities Create engaging product blogs , documents, and release notes to clearly communicate features and updates Work closely with the design team on Figma-based wireframes, UI flows , and prototypes Develop and validate storyboards and user journeys that guide product vision Lead and own Go-To-Market (GTM) strategies , ensuring successful delivery and positioning Collaborate with marketing for effective messaging, positioning, and content creation Translate product strategy into detailed requirements and user stories for development teams Monitor and measure product performance, customer feedback, and iterate rapidly Requirements: 2-5 years of experience in product management , ideally in tech or AI-focused companies Strong understanding of UI/UX principles and experience working with Figma Experience in writing technical and marketing blogs , product content, and documentation Proven track record of successful product launches and roadmap execution Ability to analyze competitors and shape product differentiation strategies Experience in storyboarding, prototyping , and working closely with design & engineering teams Familiarity with Agile/Scrum methodologies Strong problem-solving skills, attention to detail, and user-first mindset Excellent communication, storytelling, and collaboration skills Required Skills 2-5 years of product management experience , with at least 12 years in AI/ML, GenAI, or developer platforms Familiarity with LLMs, vector DBs, embeddings, APIs (e.g. OpenAI, Anthropic, Pinecone, FAISS) Understanding of cloud infrastructure (preferably AWS EC2, Lambda, S3, API Gateway) Strong ability to collaborate using Figma, wireframes, and storyboarding tools Excellent writing skills ability to author technical blogs, product guides, and release content Prior experience working in Agile, with tools like Jira, Strong problem-solving skills, with attention to detail and a user-centric mindset Educational Criteria: Bachelor’s degree (B.E/B.Tech) in Computer Science, Information Technology, or related technical field Preferred: Master’s degree (MBA) with specialization in Product Management, AI/ML, or Technology Management Why Join Karini AI? Work with a passionate and fast-growing team building the next generation of AI solutions Opportunity to lead product thinking in a high-impact role Freedom to own strategy, execution, and delivery end-to-end Friendly, transparent, and empowering culture
Company Name: Karini AI Job Title: Generative AI Engineer Location: Wakad, Pune (Onsite) Employment Type: Full-time Job Overview: Karini AI is looking for a highly motivated and skilled Generative AI Engineer to join our AI team. The ideal candidate should have expertise in Large Language Models (LLMs), Machine Learning (ML), and Deep Learning . We are looking for problem solvers, collaborative team players, and passionate individuals eager to work on cutting-edge AI technologies. If you aspire to be part of an innovative team and accelerate your career in AI, this is the perfect opportunity for you! Roles & Responsibilities: Collaborate with researchers, engineers, and domain experts to design, develop, and optimize Agentic AI applications . Fine-tune LLMs on large-scale datasets to enhance performance and accuracy. Develop compelling demos and lead proof-of-concept (PoC) projects. Stay updated with the latest research advancements in Generative AI and implement best practices. Deploy large-scale machine learning models in cloud-based environments. Mandatory Technical Skills: Hands-on experience in Generative AI and Deep Learning . Advanced knowledge of prompt engineering . Strong experience in PyTorch and working with GPUs . Proficiency in Python (Intermediate to Advanced level). Understanding of model fine-tuning and distributed computing in the cloud. Eligibility Criteria: Bachelors degree in Computer Science, AI, or a related field (4-year program). Masters degree in Artificial Intelligence or a related domain (preferred). Proven experience working as an AI Engineer with a strong foundation in Generative AI . Proficiency in deep learning frameworks and NLP techniques. Experience with cloud-based infrastructure for deploying machine learning models. Key Skills: Generative AI, Deep Learning, Machine Learning, Natural Language Processing (NLP), PyTorch, Python, Cloud Computing, LLM Fine-Tuning, Agentic AI, Lang graph.
Role Overview As a Forward Deployed(Generative AI) Engineer, you will design, build, and deploy AI agents and Generative AI solutions directly in customer environments. You'll collaborate with cross-functional teams, prototype solutions, productionize systems, and integrate AI into enterprise workflows. This role blends strong technical skills , customer-facing problem-solving , and hands-on AI development . Key Responsibilities Partner with customers to identify Business challenges and AI integration opportunities across their workflows. Design and develop AI agents and RAG pipelines using LLMs, embeddings, and vector databases. Integrate AI systems with enterprise platforms such as CMS, CRM, analytics, and authentication systems. Implement reliability and safety best practices , prompt versioning, hallucination control, HITL loops, and offline evaluations. Lead PoCs and demos , validate use cases, and deliver measurable business outcomes. Document and standardize best practices, playbooks, and reusable components for future deployments. Collaborate with core engineering to productize customer prototypes . Required Skills & Experience 2-5 years of experience in solutions engineering, Machine Learning or AI engineering. Strong proficiency in Python and/or TypeScript with hands-on API and data integration skills. Proven experience in building and deploying Generative AI or LLM-based applications . Expertise in RAG architectures and concepts(vector stores like Opensearch, Pinecone, Weaviate, hybrid search; metadata filtering). Experience with prompt engineering , evaluation frameworks, and AI safety guardrails. Familiarity with enterprise security considerations (PII handling, access controls, compliance). Excellent communication skills and customer-facing experience . Nice-to-Have Experience with AWS Cloud Experience with frameworks like LangChain, LangGraph, DSPy, or LlamaIndex. Hands on experience of LLM fine-tuning is a big plus Experience leading PoCs or production deployments for enterprise customers. Preferred Qualifications : Bachelor of Engineering in Computer Science, Artificial Intelligence. PhD, M.Tech, M.E. & B.E-Computer Science or AI is preferred. Hands-on experience in product-focused organizations. Why Karini AI Work on cutting-edge Generative AI technologies and real-world deployments. Opportunity to build AI agents and solutions for global enterprise clients . Collaborate with a team of AI experts and engineers solving high-impact problems. Accelerate your career in AI with end-to-end solution ownership.
Role :- Data Engineer Experience: 3 to 5 Years Location: Pune (Baner) Type: Full-time Role Overview We are looking for a skilled Data Engineer with deep AWS expertise to help operationalize and scale our SaaS platform. The ideal candidate should have strong hands-on experience in AWS analytics services (EMR, Glue, Athena, S3, Postgres/RDS) , data pipeline development, and cloud-native architectures. You will design, build, and maintain scalable data pipelines, implement secure cloud data architectures, optimize storage and compute performance, and ensure end-to-end operational reliability of our SaaS platform. While the role is primarily AWS-focused, some exposure to AI, vector search, or modern data processing techniques is an added advantage. Key Responsibilities:- AWS-Centric Data Engineering Design and implement ETL/ELT pipelines using AWS Glue, EMR, Lambda, and Step Functions Develop optimized Athena queries, partitions, data catalog management , and metadata workflows Manage and optimize Amazon S3 data lakes (performance tuning, lifecycle policies, cost optimization) Set up and maintain PostgreSQL/RDS for operational and analytical workloads Implement VPC, subnets, security groups, NAT gateways, and private networking for secure data operations Data Pipeline & Platform Operations Build highly scalable batch and real-time data workflows Develop connectors for diverse data sources (databases, cloud storage, SaaS APIs) Implement data quality validation, monitoring, and alerting across pipelines Ensure high availability, reliability, and performance of data systems for our SaaS platform Set up CI/CD pipelines , infrastructure automation using Terraform , and containerized workflows using Docker/Kubernetes AI & Advanced Processing (Good to Have) Basic knowledge of embeddings, tokenization, and vector DBs (OpenSearch, Pinecone, Weaviate, Chroma) Experience with document processing, OCR, semantic chunking, or RAG pipelines Integration exposure with LLM services (OpenAI, Bedrock, Databricks) Required Technical Skills AWS Services (Primary Focus): EMR, Glue, Athena, S3, RDS/Postgres, Lambda, IAM, VPC, CloudWatch Data Engineering: Python (pandas, NumPy), SQL, ETL/ELT design, data warehousing, data modeling Distributed Processing: Spark on EMR (mandatory), Ray (optional) Streaming Systems: Kafka or Kinesis (good to have) DevOps & Infra: Docker, Kubernetes, Terraform, GitHub Actions, CI/CD pipelines AI/Data Tools (Advantage): Vector databases, MLflow/DVC, embedding generation, RAG pipelines Required Experience 3-5 years of experience as a Data Engineer Strong hands-on experience with AWS analytics & data services Experience managing and optimizing S3-based data lakes Strong experience with PostgreSQL/RDS Prior work on secure cloud architectures (IAM, VPC, subnets) Experience with ETL/ELT pipeline design for high-volume workloads Exposure to SaaS platform operations or multi-tenant architectures is a plus Key Skills for Success Strong analytical and problem-solving mindset Deep understanding of AWS data ecosystem Ability to work in a fast-paced startup environment Ownership mentality and willingness to build from the ground up Collaborative approach with cross-functional teams What We Offer Work on cutting-edge Gen AI products solving real-world problems Collaborate with AWS on innovative AI initiatives Competitive salary + equity in growing AI company Professional growth in rapidly evolving AI landscape Flexible, innovative culture valuing creativity and ownership