GenAI
1 week ago
Company
Crest Infosystems is a Software Development Services Provider Company with 14 years of experience developing future-ready custom business solutions. We have successfully served 200+ clients across the globe. It could be possible due to our well-experienced team members who have successfully accomplished 700+ projects across the globe. Our workforce has expertise in delivering affordable enterprise solutions in Mobile, Web, Cloud, Big Data, UX/UI, Machine Learning & AI, Digital Marketing, etc.
Job Overview & Responsibilities
We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks.
This role requires not only technical proficiency but also excellent communication skills and the ability to guide and upskill junior team members. Exposure to cutting-edge concepts like multi-agent collaboration, Memory-Context-Planning (MCP), and agent-to-agent workflows is highly desirable.
● Lead the design and development of GenAI/LLM-based products and solutions.
● Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques.
● Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows.
● Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc.
● Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents.
● Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends.
● Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals.
Required Skills
● 4+ years of total software development experience with a strong foundation in Python.
● 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment.
● Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc.
● Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search.
● Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma).
● Exposure to agent frameworks and multi-agent orchestration.
● Excellent written and verbal communication skills.
● Proven ability to lead and mentor team members on technical and architectural decisions.
Nice to Have
● Experience with cloud platforms (AWS/GCP/Azure) for deploying LLMs at scale.
● Knowledge of ethical AI practices, bias mitigation, and model interpretability.
● Background in machine learning, natural language processing (NLP), or AI research.
● Publications or contributions to open-source LLM projects are a plus.
Perks & Benefits
● Competitive Compensation and Benefits
● Half Yearly Appraisals
● Friendly Environment
● Work-life Balance
● 5 days working
● Flexible office timings
● Employee-friendly leave policies
● Work from Home (with prior approvals)
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