FullStack AI Engineer – GenAI

2 days ago

Hyderabad, Telangana, India First Phoenics Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title – Software Engineer (Python + GenAI)

Location – Hyderabad (Hybrid)

Employment Type – Fulltime

Experience – 7+ years

Notice Period – Immediate Joiner

Note:
We need folks with software engineering + Gen AI experience, most of the profiles we are getting are data science related, some of our current projects involve 80% software engg and 20% genai - generalist software engineering + Gen AI experience is also needed apart from data science.

Required skills


• Strong experience (7+ Years) as a Software Engineer (Python)


• professional experience in building Machine Learning models & systems


• 2 years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.


• Experience in driving the engineering team toward a technical roadmap.


• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.


• Understanding of Cloud services, including Azure, GCP, or AWS


• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities


• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.


• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.


• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.


• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.


• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.


• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

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