Job Description

AI ML Lead Jtek Software Solutions

Job Title: Senior AI/ML Engineer Custom LLM & RAG Implementation

Location: On-site
Experience: 7+ years
Industry: Cross-Domain (Finance, Healthcare, Logistics, Retail, LegalTech, etc.)

About the Role

We are seeking a highly skilled and hands-on Senior AI/ML Engineer with strong expertise in building and deploying custom Large Language Models (LLMs). The ideal candidate will have demonstrable experience in Retrieval-Augmented Generation (RAG) implementations, fine-tuning foundation models, and solving complex problems across domains using applied machine learning and natural language processing.

This role is strategic and technical, requiring a blend of research, solution engineering, MLOps maturity, and domain adaptability.

Key Responsibilities

LLM Development & Deployment
Design, build, and deploy customized LLM pipelines tailored to enterprise use cases.
Implement end-to-end LLMOps workflows including model packaging, CI/CD, and monitoring.
RAG & Fine-Tuning
Implement RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and document ingestion frameworks (e.g., LangChain, Haystack).
Fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral, MPT) on proprietary datasets using frameworks like Hugging Face Transformers and PEFT/LoRA.
Solution Engineering
Translate business problems into ML/LLM solutions with clear problem framing and data strategy.
Collaborate with product, data engineering, and domain teams to prototype and deliver scalable solutions.
Cross-Functional AI Applications
Apply ML/LLM solutions across multiple verticals such as legal document analysis, customer support automation, compliance, supply chain optimization, or medical NLP.
Build domain-agnostic prompt engineering strategies and apply zero-shot/few-shot learning where appropriate.
Leadership & Mentorship
Mentor junior engineers and contribute to AI/ML best practices.
Act as a thought partner in innovation and experimentation within the team and with external stakeholders.
Required Skills & Qualifications

Bachelors or Master’s in Computer Science, AI/ML, Data Science, or related field.
5+ years of hands-on experience in ML/NLP, with a recent focus on LLMs and foundation models.
Deep knowledge of Hugging Face ecosystem, PyTorch/TensorFlow, LangChain, OpenAI APIs, and popular model libraries.
Experience deploying ML models to production using FastAPI, Docker, Kubernetes, or cloud-native tools (AWS/GCP/Azure).
Familiarity with vector databases, embeddings, and search frameworks.
Strong understanding of model evaluation metrics, bias/fairness in ML, and responsible AI practices.
Ability to work cross-functionally with business, legal, and engineering teams.
Preferred Qualifications

Experience with RLHF (Reinforcement Learning from Human Feedback).
Published work in open-source communities or AI research conferences.
Familiarity with multi-modal AI, autoML, or agentic workflows is a plus.
Prior work in regulated domains (e.g., finance, healthcare, legal).
Why Join Us

Work on cutting-edge AI/LLM use cases that span industries and functions.
Lead mission-critical AI initiatives from ideation to deployment.
Be part of a collaborative, innovation-driven team shaping the next generation of enterprise AI solutions.
Role: Full Stack Data Scientist
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate