You will be joining a dynamic team at a21.ai, a company dedicated to enhancing intelligence through cutting-edge AI and Generative AI solutions across various industries. Our specialization in AI strategy, engineering, and custom development guarantees the successful implementation of projects. As a leader in Generative AI and LLM services, we offer comprehensive AI advisory, efficient engineering, and secure solutions, supported by unique accelerators for data integration and analytics. By becoming a part of our team, you will contribute to pioneering AI innovations that shape the future. As a Product Marketing Manager based in Delhi, India, you will play a pivotal role in our organization on a full-time basis. Your responsibilities will encompass market research, content marketing, utilization of Google Analytics and SEM, formulation of go-to-market strategies, collaboration with sales teams, management of product lifecycle, and execution of product marketing plans. Success in this role hinges on close teamwork with cross-functional units to drive product excellence and market outreach. To excel in this position, you should possess strong competencies in Google Analytics, SEM, and Go-to-Market Strategy, along with a background in Sales and Product Management. Proficiency in Content Marketing, exceptional analytical and communication skills, and the ability to lead cross-functional teams collaboratively are essential. An MBA in Marketing, Business, or a related field is preferred, and prior experience in AI or technology industries would be advantageous.,
Position: Sr. AI Engineer Location: New Delhi, India Company: a21.ai Job Type: Full-time Experience Required: 2-5 years About a21.ai a21.ai is at the forefront of AI innovation, helping companies build large language model (LLM) applications and bespoke GenAI solutions. We are dedicated to delivering scalable, secure, and data-confidential AI solutions that cater to a diverse range of industries, including CPG, retail, and finance. As we continue to grow, we are seeking talented and enthusiastic fresh graduates to join our AI engineering team and contribute to cutting-edge artificial intelligence projects. Job Summary We are looking for passionate candidates with 2-5 years of experience who are excited about artificial intelligence and machine learning. The ideal candidate should have a strong background in building agentic AI systems, RAG pipelines, and implementing vector search solutions that solve real business problems. This is a hands-on role with exposure to cutting-edge models, orchestration frameworks, and enterprise-scale deployments. You will work alongside experienced AI engineers and data scientists to develop, deploy, and optimize AI models and solutions that solve real-world business problems. Key Responsibilities Design and implement multi-LLM agentic systems using frameworks like LangGraph, LangChain, or custom orchestration. Build and optimize RAG pipelines with vector databases (Pinecone, Qdrant, OpenSearch, Weaviate, FAISS). Engineer context injection and retrieval infra for domain-specific GenAI solutions. Collaborate with Data Engineers on embedding stores and unstructured data ingestion pipelines . Fine-tune or adapt transformer-based models for domain-specific tasks when required. Deploy solutions across cloud and on-prem environments , ensuring security, latency, and scalability. Work on client-facing projects , translating business problems into technical architectures. Stay updated with the latest AI research papers and industry trends Technical Skills Strong programming in Python with hands-on experience in transformer libraries (Hugging Face, OpenAI, Anthropic, Llama). Experience with LangChain/LangGraph or similar orchestration frameworks. Hands-on expertise with Vector DBs and embedding pipelines . Knowledge of RAG system design and best practices. Experience with containerization & orchestration (Docker, Kubernetes). Ability to design solutions that are cloud-agnostic and on-prem deployable . Experience with version control systems (Git) Soft Skills Strong analytical thinking and problem-solving abilities Eagerness to learn and adapt to rapidly evolving AI technologies Excellent communication skills to explain complex AI concepts to diverse stakeholders Collaborative mindset and ability to work in cross-functional teams Curiosity about AI research and willingness to experiment with new approaches Attention to detail and systematic approach to experimentation Preferred Skills (Good to Have - Not Mandatory) Prior work with fine-tuning transformers or domain adaptation. Familiarity with observability and monitoring for LLM applications. Exposure to multi-agent systems and reinforcement learning concepts. Experience integrating AI into enterprise workflows/CRMs/ERPs. Basic understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI services Knowledge of containerization technologies (Docker) Participation in ML competitions (Kaggle, hackathons) or research publications Understanding of MLOps concepts and tools What We Offer Learning & Growth AI Mentorship Program with dedicated senior AI engineers and researchers Comprehensive training on LLMs, GenAI, and production ML systems Research opportunities to work on cutting-edge AI projects and potentially publish papers Conference and workshop attendance to stay current with AI advancements Learning budget for AI/ML courses, certifications, and books Technical Environment State-of-the-art AI tools and development environments Collaborative research culture with opportunities to contribute to open-source projects Innovation time (20%) to explore personal AI research interests Direct exposure to enterprise AI deployment challenges and solutions Work Environment · Startup culture with direct access to AI research leaders and industry experts · Cross-functional collaboration with product, engineering, and business teams · Regular tech talks and knowledge sharing sessions a21.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We especially welcome applications from underrepresented groups in AI/ML and are dedicated to fostering the next generation of AI talent.
Position: Team Lead AI Projects Location: New Delhi, India Company: a21.ai Job Type: Full-time Experience Required: 5+ years Team Lead - GenAI EngineeringAbout a21.ai a21.ai is at the forefront of AI innovation, helping companies build large language model (LLM) applications and bespoke GenAI solutions. We are dedicated to delivering scalable, secure, and data-confidential AI solutions that cater to a diverse range of industries, including CPG, retail, and finance. As we continue to scale our engineering capabilities, we are seeking an experienced technical leader to execute our GenAI projects and guide the engineering team. Job Summary We are seeking a technical leader with 5+ years of experience in AI/ML engineering, including at least 2 years in a leadership capacity, to run the AI projects for a21ai's customers. The ideal candidate should possess in-depth expertise in building production-grade agentic AI systems, RAG pipelines, and vector search solutions, combined with a proven ability to lead technical teams and drive architectural decisions. It is important to have the intuition to solve business problems. This is a highly client-facing role. You will lead a team working on multiple active client engagements across pharma, and finance sectors. As Team Lead, you'll spend significant time interfacing directly with clients - from initial technical discovery to solution delivery - while also mentoring your team and ensuring high-quality execution across our project portfolio. You need to be comfortable presenting to executives, handling technical objections, and building trusted advisor relationships with client stakeholders. Key Responsibilities Technical Leadership Architect and oversee implementation of multi-LLM agentic systems using frameworks like LangGraph, LangChain, or custom orchestration Define technical standards and best practices for RAG pipelines, vector databases (Pinecone, Qdrant, OpenSearch, Weaviate, FAISS), and GenAI solutions Lead design reviews and provide technical guidance on complex AI engineering challenges Drive R&D initiatives and evaluate emerging AI technologies for production readiness Own end-to-end technical architecture for enterprise-scale AI deployments Team Management Build, mentor, and grow a high-performing team of GenAI engineers Conduct technical interviews and establish hiring standards for AI engineering roles Foster a culture of innovation, experimentation, and continuous learning Provide career development guidance and conduct performance reviews Facilitate knowledge sharing through tech talks, code reviews, and pair programming Client & Stakeholder Engagement Lead and coordinate multiple concurrent client projects across the team Manage project scope, timelines, and resource allocation for GenAI engagements Lead technical discovery sessions with clients to understand business requirements Translate complex business problems into scalable technical architectures Manage technical aspects of client relationships and project delivery Act as a trusted advisor on AI strategy and implementation approaches Cross-functional Collaboration Partner with Data Engineering, MLOps, and Product teams to deliver integrated solutions Collaborate with sales and business development on solution scoping and estimation Work with infrastructure teams on cloud and on-prem deployment strategies Ensure alignment between technical decisions and business objectives Technical Skills Required Expert-level Python programming with deep knowledge of transformer libraries (Hugging Face, OpenAI, Anthropic, Llama, etc.) Experience in architecting and deploying LangChain/LangGraph or similar orchestration frameworks Experience in architecting and deploying enterprise-grade solutions at scale Familiarity with vector databases, embedding pipelines, and retrieval optimization Advanced knowledge of RAG system design, prompt engineering, and context management strategies Production experience with containerization & orchestration (Docker, Kubernetes) Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services Experience designing cloud-agnostic and on-prem deployable solutions Solid understanding of MLOps, CI/CD, and production ML monitoring Preferred Experience with model fine-tuning, PEFT techniques (LoRA, QLoRA), and domain adaptation Knowledge of LLM observability tools (LangSmith, Weights & Biases, Arize) and running Evals Expertise in multi-agent systems, tool use, and function calling patterns Experience integrating AI into enterprise systems (CRMs, ERPs, data warehouses) Understanding of AI safety, responsible AI, and model governance Immediate joiners! What We Offer Leadership Development Direct exposure to company leadership and strategic decision-making Customer-facing role allowing for building a personal brand outside the company Opportunities to shape technical direction and engineering culture Potential for rapid career growth as the company scales Technical Environment Autonomy to make architectural decisions and drive technical strategy, and work directly with customer Opportunity to work on diverse, challenging problems across multiple industries Work Environment Startup culture with direct impact on company direction Competitive compensation including equity participation Flexible work arrangements with focus on outcomes Cross-functional collaboration with product, engineering, and business teams Regular tech talks, knowledge sharing, and team building activities Compensation & Benefits Competitive salary commensurate with experience Performance-based bonuses and equity options a21.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We especially welcome applications from underrepresented groups in AI/ML and are committed to building diverse technical leadership
Position: Team Lead AI Projects Location: New Delhi, India Company: a21.ai Job Type: Full-time Experience Required: 5+ years Team Lead - GenAI EngineeringAbout a21.ai a21.ai is at the forefront of AI innovation, helping companies build large language model (LLM) applications and bespoke GenAI solutions. We are dedicated to delivering scalable, secure, and data-confidential AI solutions that cater to a diverse range of industries, including CPG, retail, and finance. As we continue to scale our engineering capabilities, we are seeking an experienced technical leader to execute our GenAI projects and guide the engineering team. Job Summary We are seeking a technical leader with 5+ years of experience in AI/ML engineering, including at least 2 years in a leadership capacity, to run the AI projects for a21ai's customers. The ideal candidate should possess in-depth expertise in building production-grade agentic AI systems, RAG pipelines, and vector search solutions, combined with a proven ability to lead technical teams and drive architectural decisions. It is important to have the intuition to solve business problems. This is a highly client-facing role. You will lead a team working on multiple active client engagements across pharma, and finance sectors. As Team Lead, you'll spend significant time interfacing directly with clients - from initial technical discovery to solution delivery - while also mentoring your team and ensuring high-quality execution across our project portfolio. You need to be comfortable presenting to executives, handling technical objections, and building trusted advisor relationships with client stakeholders. Key Responsibilities Technical Leadership Architect and oversee implementation of multi-LLM agentic systems using frameworks like LangGraph, LangChain, or custom orchestration Define technical standards and best practices for RAG pipelines, vector databases (Pinecone, Qdrant, OpenSearch, Weaviate, FAISS), and GenAI solutions Lead design reviews and provide technical guidance on complex AI engineering challenges Drive R&D initiatives and evaluate emerging AI technologies for production readiness Own end-to-end technical architecture for enterprise-scale AI deployments Team Management Build, mentor, and grow a high-performing team of GenAI engineers Conduct technical interviews and establish hiring standards for AI engineering roles Foster a culture of innovation, experimentation, and continuous learning Provide career development guidance and conduct performance reviews Facilitate knowledge sharing through tech talks, code reviews, and pair programming Client & Stakeholder Engagement Lead and coordinate multiple concurrent client projects across the team Manage project scope, timelines, and resource allocation for GenAI engagements Lead technical discovery sessions with clients to understand business requirements Translate complex business problems into scalable technical architectures Manage technical aspects of client relationships and project delivery Act as a trusted advisor on AI strategy and implementation approaches Cross-functional Collaboration Partner with Data Engineering, MLOps, and Product teams to deliver integrated solutions Collaborate with sales and business development on solution scoping and estimation Work with infrastructure teams on cloud and on-prem deployment strategies Ensure alignment between technical decisions and business objectives Technical Skills Required Expert-level Python programming with deep knowledge of transformer libraries (Hugging Face, OpenAI, Anthropic, Llama, etc.) Experience in architecting and deploying LangChain/LangGraph or similar orchestration frameworks Experience in architecting and deploying enterprise-grade solutions at scale Familiarity with vector databases, embedding pipelines, and retrieval optimization Advanced knowledge of RAG system design, prompt engineering, and context management strategies Production experience with containerization & orchestration (Docker, Kubernetes) Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services Experience designing cloud-agnostic and on-prem deployable solutions Solid understanding of MLOps, CI/CD, and production ML monitoring Preferred Experience with model fine-tuning, PEFT techniques (LoRA, QLoRA), and domain adaptation Knowledge of LLM observability tools (LangSmith, Weights & Biases, Arize) and running Evals Expertise in multi-agent systems, tool use, and function calling patterns Experience integrating AI into enterprise systems (CRMs, ERPs, data warehouses) Understanding of AI safety, responsible AI, and model governance Immediate joiners! What We Offer Leadership Development Direct exposure to company leadership and strategic decision-making Customer-facing role allowing for building a personal brand outside the company Opportunities to shape technical direction and engineering culture Potential for rapid career growth as the company scales Technical Environment Autonomy to make architectural decisions and drive technical strategy, and work directly with customer Opportunity to work on diverse, challenging problems across multiple industries Work Environment Startup culture with direct impact on company direction Competitive compensation including equity participation Flexible work arrangements with focus on outcomes Cross-functional collaboration with product, engineering, and business teams Regular tech talks, knowledge sharing, and team building activities Compensation & Benefits Competitive salary commensurate with experience Performance-based bonuses and equity options a21.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We especially welcome applications from underrepresented groups in AI/ML and are committed to building diverse technical leadership
Position: Sr. AI Engineer Location: New Delhi, India Company: a21.ai Job Type: Full-time Experience Required: 2-5 years About a21.ai a21.ai is at the forefront of AI innovation, helping companies build large language model (LLM) applications and bespoke GenAI solutions. We are dedicated to delivering scalable, secure, and data-confidential AI solutions that cater to a diverse range of industries, including CPG, retail, and finance. As we continue to grow, we are seeking talented and enthusiastic fresh graduates to join our AI engineering team and contribute to cutting-edge artificial intelligence projects. Job Summary We are looking for passionate candidates with 2-5 years of experience who are excited about artificial intelligence and machine learning. The ideal candidate should have a strong background in building agentic AI systems, RAG pipelines, and implementing vector search solutions that solve real business problems. This is a hands-on role with exposure to cutting-edge models, orchestration frameworks, and enterprise-scale deployments. You will work alongside experienced AI engineers and data scientists to develop, deploy, and optimize AI models and solutions that solve real-world business problems. Key Responsibilities Design and implement multi-LLM agentic systems using frameworks like LangGraph, LangChain, or custom orchestration. Build and optimize RAG pipelines with vector databases (Pinecone, Qdrant, OpenSearch, Weaviate, FAISS). Engineer context injection and retrieval infra for domain-specific GenAI solutions. Collaborate with Data Engineers on embedding stores and unstructured data ingestion pipelines . Fine-tune or adapt transformer-based models for domain-specific tasks when required. Deploy solutions across cloud and on-prem environments , ensuring security, latency, and scalability. Work on client-facing projects , translating business problems into technical architectures. Stay updated with the latest AI research papers and industry trends Technical Skills Strong programming in Python with hands-on experience in transformer libraries (Hugging Face, OpenAI, Anthropic, Llama). Experience with LangChain/LangGraph or similar orchestration frameworks. Hands-on expertise with Vector DBs and embedding pipelines . Experience in scaling VectorDBs and building robust RAG pipelines for enterprise deployments Experience of running evaluations and building Agents with memory Experience with containerization & orchestration (Docker, Kubernetes). Ability to design solutions that are cloud-agnostic and on-prem deployable . Experience with version control systems (Git) Soft Skills Strong analytical thinking and problem-solving abilities Eagerness to learn and adapt to rapidly evolving AI technologies Excellent communication skills to explain complex AI concepts to diverse stakeholders Collaborative mindset and ability to work in cross-functional teams Curiosity about AI research and willingness to experiment with new approaches Attention to detail and systematic approach to experimentation Preferred Skills (Good to Have - Not Mandatory) Prior work with fine-tuning transformers or domain adaptation. Familiarity with observability and monitoring for LLM applications. Exposure to multi-agent systems and reinforcement learning concepts. Exposure to automatic prompt optimization based on user feedback Experience integrating AI into enterprise workflows/CRMs/ERPs. Basic understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI services Knowledge of containerization technologies (Docker) Participation in ML competitions (Kaggle, hackathons) or research publications Understanding of MLOps concepts and tools What We Offer Learning & Growth AI Mentorship Program with dedicated senior AI engineers and researchers Comprehensive training on LLMs, GenAI, and production ML systems Research opportunities to work on cutting-edge AI projects and potentially publish papers Conference and workshop attendance to stay current with AI advancements Learning budget for AI/ML courses, certifications, and books Technical Environment State-of-the-art AI tools and development environments Collaborative research culture with opportunities to contribute to open-source projects Innovation time (20%) to explore personal AI research interests Direct exposure to enterprise AI deployment challenges and solutions Work Environment · Startup culture with direct access to AI research leaders and industry experts · Cross-functional collaboration with product, engineering, and business teams · Regular tech talks and knowledge sharing sessions a21.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We especially welcome applications from underrepresented groups in AI/ML and are dedicated to fostering the next generation of AI talent.