Inexture Solutions is actively seeking a Senior AI/ML Engineer – Tech Lead with deep expertise in Generative AI and Agentic AI technologies. The ideal candidate should possess over 5 years of experience in building, deploying, and leading end-to-end AI/ML projects in production environments. This is a full-time, on-site role requiring leadership, technical depth, and hands-on experience in the latest AI/ML and cloud technologies.

The selected candidate will lead cross-functional AI initiatives involving NLP, Deep Learning, Generative AI, Prompt Engineering, RAG (Retrieval-Augmented Generation), Fine-tuning of LLMs, and Agentic AI frameworks. You will collaborate closely with Data Scientists, ML Engineers, and Product Owners to design and scale intelligent systems across multiple domains.

If you’re passionate about leading innovation, building scalable AI systems, and working in a fast-paced environment, we invite you to bring your expertise to our Ahmedabad-based team.

What you will do

• Lead the AI/ML Engineering team in building and deploying scalable AI solutions focused on Generative AI, NLP, and Deep Learning.
• Drive the end-to-end ML lifecycle, including data ingestion, preprocessing, feature engineering, model development, deployment, and monitoring.
• Architect and implement Generative AI solutions using advanced techniques like Prompt Engineering, Fine-Tuning, and RAG pipelines with LangChain or similar frameworks.
• Design, build, and evaluate LLM-powered Agentic workflows using tools like Crew AI, LangGraph, or other relevant frameworks.
• Develop and optimize NLP applications using libraries such as SpaCy, NLTK, and Gensim, including tasks like topic modelling, summarization, NER, and sentiment analysis.
• Build and experiment with Deep Learning models (CNN, RNN, Transformer-based architectures) using TensorFlow, Keras, or PyTorch for vision or text-based use cases.
• Collaborate with the DevOps team to implement MLOps pipelines, CI/CD for models, model versioning, and automated retraining workflows.
• Integrate vector databases like Pinecone, FAISS, or Weaviate for RAG and semantic search use cases.
• Ensure efficient data querying and manipulation through SQL and NoSQL databases.
• Work on cloud platforms (AWS, Azure, or GCP) for scalable model training, deployment, and orchestration.

Additional Skills Preferred

• Strong knowledge and hands-on experience with Agentic AI frameworks such as Crew AI, LangGraph, Autogen, or MetaGPT.
• Familiarity with open-source LLMs like LLaMA, Mistral, Falcon, or GPT-NeoX, and experience in adapting them for business-specific use cases.
• Experience with LangChain, Haystack, LLamaIndex, or similar Gen AI orchestration frameworks for chaining LLM tasks.
• Understanding of prompt templating, tool calling, context windows, and embedding techniques for large-scale Gen AI deployment.
• Knowledge of LLM Evaluation techniques (e.g., hallucination detection, factual consistency, latency analysis).
• Exposure to AutoML, experiment tracking tools (MLflow, Weights & Biases), and feature stores (Feast).
• Prior experience in leading AI/ML product teams, client-facing roles, or R&D-level PoC development is highly desirable.
• Publications, blogs, or open-source contributions in the AI/ML/Gen AI space will be an added advantage.

Educational Qualification

• BTech / BE / BSc / ME / Mtech / Msc in Computer Science, Engineering or relevant field

Perks & Benefits

• 5 Days Working.
• Flexible working hours.
• Festival Celebration.
• Employee Engagement Activity.
• Team Outing.
• Transparent Evaluation.
• Game Zone Facilities.
• Vocational Training.
• Soft Skills Training.
• Leaves & Benefits.
• Leave encashment.
• Paid Maternity & Paternity leave.
• Overtime & Compensation.
• Food reimbursement.
• International Relocation.
• Feedback & Support.