Generative AI Engineer

Job Description for Developer

Job Title : Python AI / ML Developer

Role : Developer

Experience Level : 3–7 years

We are seeking highly skilled and motivated Python Developers with AI / ML experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI / ML solutions that drive strategic transformation and operational efficiency.

As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI.

Key Responsibilities :

Design, develop, and deploy scalable AI / ML solutions and prototypes.

Build data pipelines, clean datasets, and engineer features for training models.

Apply deep learning, NLP, and classical ML techniques.

Integrate AI models into backend services using Python (e.g., FastAPI, Flask).

Collaborate with cross-functional teams (e.g., UI / UX, DevOps, product managers).

Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT).

Stay current with advancements in AI / ML and suggest opportunities for innovation.

Required Skill Set : Technical Skills :

Programming Languages : Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn.

AI / ML Frameworks : TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have).

NLP & LLMs : Experience with language models, embeddings, fine-tuning, and vector search.

Prompt Engineering : Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration.

Backend Development : FastAPI or Flask for model deployment and REST APIs.

Data Handling : Experience in data preprocessing, feature engineering, and handling large datasets.

Version Control : Git and GitHub.

Database Experience : SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred.

Nice to Have (Optional) :

Experience with Docker, Kubernetes, or cloud environments (Azure, AWS).

Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen).

Soft Skills :

Strong problem-solving and analytical thinking.

Eagerness to experiment and explore new technologies.

Excellent communication and teamwork skills.

Ability to work independently in a fast-paced, dynamic environment.

Innovation mindset with a focus on rapid prototyping and proof-of-concepts.

Educational Qualification :

Bachelor’s or Master’s degree in Computer Science, Data Science, AI / ML, or a related field.

Certifications in AI / ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus.