AI Engineer - Legal & Enterprise automation

Designation: AI Engineer - Legal & Enterprise automation

Qualification: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science or a related technical discipline.

Certifications (if any): Relevant certifications in AI/ML, NLP, Deep Learning or Cloud AI platforms (preferred).

Experience: Minimum 4+ years of experience in AI/ML model development, LLM integration and intelligent system design.

Work Location: Bangalore / Mumbai / Pune

Work Mode: Hybrid

Role Summary: Vyapi Lextech Solutions is hiring an experienced AI Engineer for its renowned global technology partner to join their growing technology team.

Partner Company Brief: The organization has been recognized for pioneering advancements in the field of legal and enterprise automation. The company’s AI-driven platform has been designed to transform the way legal, business and executive teams collaborate, enabling enterprises to uncover opportunities, reduce risks and convert insights into strategic business decisions. Headquartered across multiple global locations including London, New York, Toronto, Dubai, Sydney and major Indian metros, the organization operates with a diverse team of innovators who are passionate about redefining how technology supports modern legal and business functions.

Job Role: The AI Engineer will be responsible for designing, developing and deploying intelligent systems that enhance automation and decision-making within enterprise applications. The role involves building agent-based AI architectures, integrating large language models and developing intelligent agents capable of reasoning, learning and acting autonomously. The incumbent will work closely with cross-functional teams to create scalable, explainable and production-ready AI solutions that deliver measurable business impact.

Key Responsibilities:

• Design and implement scalable agentic AI systems capable of executing complex workflows and reasoning over domain-specific data.
• Research, prototype and deploy machine learning and deep learning models, with emphasis on Natural Language Processing (NLP/NLU).
• Develop and integrate autonomous AI agents that can interpret, analyse and act on structured and unstructured data.
• Utilize frameworks such as LangChain, AutoGen, OpenAI Function Calling and Semantic Kernel to create multi-agent workflows.
• Fine-tune and deploy Large Language Models (LLMs) using PEFT, LoRA and RAG techniques for domain adaptation.
• Build and maintain infrastructure for AI model lifecycle management—training, inference, monitoring and optimization.
• Collaborate with domain experts, product teams and engineers to design transparent, explainable and ethical AI solutions.
• Contribute to the overall AI and automation strategy, enabling innovation and scalability across product offerings.

Required Skills:

• Strong foundation in Machine Learning, NLP and Deep Learning.
• Hands-on experience with Python and libraries/frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain and Spacy.
• Proven experience in building or integrating agentic AI systems or multi-agent frameworks.
• Understanding of LLM architectures (OpenAI, LLAMA, Falcon) and prompt engineering techniques.
• Familiarity with Reinforcement Learning methods (PPO, RLHF, RLAIF).
• Experience with document processing and semantic extraction from text, PDFs and images.
• Exposure to cloud-based AI environments and MLOps practices.

Desired Skills:

• Experience in AI system deployment using Docker or microservices architecture.
• Knowledge of retrieval-augmented generation (RAG) pipelines.
• Familiarity with vector databases and embedding techniques.
• Exposure to Agile/Scrum methodologies and cross-functional collaboration.

Personal Attributes:

• Analytical, innovative and detail-oriented mindset.
• Strong problem-solving and research skills.
• Excellent communication and collaboration abilities.
• Proactive learner with a passion for emerging AI technologies.
• Commitment to building ethical, explainable and scalable AI solutions.

Job Types: Full-time, Permanent

Pay: ₹1,500,000.00 - ₹3,000,000.00 per year

Application Question(s):

• Which Location do you wish to Apply for (Bangalore / Mumbai / Pune)?

Experience:

• AI/ML model development: 4 years (Required)
• LLM integration & intelligent system design: 2 years (Required)

Work Location: In person