Generative AI Developer / Engineer / Analyst

Experience

- 23 years of hands-on experience working with Generative AI technologies

(Recognizing the relative newness of GenAI as a field)
- 2–3 years of experience in data analysis, business analysis, or analytics-heavy roles

Role Summary

We are seeking a Generative AI Developer/Analyst who combines strong data and analytical thinking with the ability to effectively design, test, and optimize LLM-powered solutions. While traditional programming skills are key, this role places a strong emphasis on data understanding, prompt engineering, and written communication, as English is effectively the “programming language” of GenAI systems.

The ideal candidate is a technologist first, comfortable coding in any up-to-date language, and equally comfortable working with data, requirements, and stakeholders.

Key Responsibilities

Generative AI Development

- Design, build, and optimize applications using Large Language Models (LLMs) such as LLama, GPT, Claude,

Gemini, or similar
- Develop and refine prompt engineering strategies to improve accuracy, reliability, and consistency of

GenAI outputs

- Implement prompt versioning, evaluation, and experimentation frameworks
- Apply techniques such as few-shot learning, chain-of-thought prompting, RAG (Retrieval-Augmented

Generation), and tool/function calling

Data & Analysis

- Analyze structured and unstructured data to determine suitability for GenAI use cases
- Work closely with business stakeholders to translate requirements into LLM-ready inputs and workflows
- Perform data profiling, cleansing, and transformation to support GenAI pipelines
- Evaluate model outputs using qualitative and quantitative metrics

Engineering & Integration
- Implement GenAI solutions using any modern programming language (e.g., Python, Java, JavaScript, Go,

etc.)
- Integrate LLMs with APIs, databases, vector stores, and enterprise systems
- Build scalable and secure GenAI services following engineering best practices




- Collaborate with DevOps and cloud teams for deployment and monitoring

Communication & Documentation
- Produce clear, well-structured written documentation (prompts, design docs, evaluation criteria)
- Communicate complex AI behavior and limitations to non-technical stakeholders
- Maintain prompt libraries, usage guidelines, and best practices

Required Skills & Qualifications

Core Requirements

- 2–3 years experience working with Generative AI / LLM-based systems
- 1–3 years hands-on experience with prompt engineering
- Strong written English skills with the ability to craft precise, unambiguous instructions
- Strong data analysis or business analysis background (2–3 years)
- Ability to code in at least one programming language (language-agnostic mindset)
- Solid understanding of:

- LLM behavior, strengths, and limitations
- Tokenization, context windows, and cost/performance trade-offs
- Hallucinations, bias, and output validation techniques

Technical Knowledge
- Experience with:

- OpenAI / Azure OpenAI / Anthropic / Google GenAI APIs
- Vector databases (e.g., Pinecone, FAISS, Weaviate, OpenSearch)
- RAG architectures

• Familiarity with:
- APIs and microservices
- SQL and/or NoSQL databases
- Cloud platforms (AWS, Azure, or GCP)

Preferred / Nice-to-Have Skills
- Experience building enterprise GenAI solutions
- Knowledge of evaluation frameworks for LLM outputs
- Experience with document processing, summarization, or contract analysis
- Understanding of data privacy, security, and compliance in AI systems
- Exposure to MLOps / LLMOps concepts

Mindset & Traits
- Strong analytical and problem-solving skills
- Curious, experimental, and comfortable with ambiguity
- Ability to think in language, logic, and data simultaneously
- Business-oriented mindset with attention to real-world impact

Why This Role Is Different
- GenAI development is not only about coding
- English is a core development skill
- Success depends on data understanding, prompt design, and analysis, as much as software engineering

📌 Hiring Gen AI Developer (Bengaluru)
🏢 SSu0026C FINTECH SERVICES INDIA PRIVATE
📍 Bengaluru