Senior Artificial Intelligence Programmer - LLM/RAG (3-8 yrs)

Job Description :

We are seeking a highly experienced and versatile Senior AI Programmer / Data Analyst with strong expertise in machine learning, large language models (LLMs), and intelligent agent systems. The ideal candidate should be comfortable building production-ready AI applications and performing deep, actionable data analyses. This is a cross-functional role, combining advanced AI programming with analytical insights to drive product innovation and decision-making.

Responsibilities :

- Design, develop, and deploy AI/ML solutions with a focus on LLM-based systems and autonomous agents.

- Implement and fine-tune transformer models (e. g., GPT, BERT, LLaMA, etc. ) for a variety of use cases (chatbots, summarization, Q& A, RAG, etc. ).

- Build and maintain AI agents that interact with tools, APIs, or external environments.

- Analyze complex datasets to identify patterns, trends, and actionable insights.

- Collaborate with data engineers, product teams, and stakeholders to align AI capabilities with business goals.

- Develop and monitor data pipelines and model performance in production.

- Translate analytical findings into clear, compelling dashboards, reports, and narratives.

- Stay ahead of the curve on emerging trends in generative AI, LLMs, and agentic workflows.

- Mentor junior developers and contribute to code quality and architectural decisions.

Requirements :

- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.

- 5+ years of experience in AI/ML development, data analytics, and intelligent system design.

- Hands-on experience with LLMs (OpenAI, Anthropic, Cohere, Hugging Face models, etc. ).

- Proven ability to build and deploy multi-step autonomous agents using frameworks like LangChain, AutoGPT, or custom architectures.

- Proficiency in Java, Python, and ML libraries such as PyTorch, TensorFlow, and scikit-learn.

- Strong SQL and data wrangling skills.

- Experience with data visualization tools (Tableau, Power BI, Plotly, etc. ).

- Working knowledge of MLOps, CI/CD pipelines for ML, and cloud platforms (AWS, GCP, or Azure).

- Ability to turn business requirements into technical solutions with measurable impact.

Nice to Have :

- Experience with Retrieval-Augmented Generation (RAG) pipelines.

- Familiarity with vector databases (e. g., FAISS, Pinecone, Weaviate, Chroma).

- Knowledge of prompt engineering and evaluation techniques for LLMs.

- Exposure to big data tools like Apache Spark, Kafka, or Snowflake.

- Previous work in domains like finance, healthcare, or SaaS platforms.