Hiring Gen AI Developer

SS&C FINTECH SERVICES INDIA PRIVATE LIMITED; Hyderabad, Bengaluru; Ibrido; INR 2.200.000 - 4.200.000; Tempo pieno

Descrizione del lavoro

SS&C FINTECH SERVICES INDIA PRIVATE LIMITED seeks a Generative AI Developer/Analyst who blends data thinking with practical GenAI design, testing, and deployment of LLM-powered solutions. The role emphasizes data understanding, prompt engineering, and written communication in English, while core coding skills across modern languages are valued.

You will work with APIs, databases, and enterprise systems to integrate GenAI, while collaborating with stakeholders and DevOps teams to ensure robust,

Competenze

• 2–3 years of hands-on Generative AI / LLM experience.
• 1–3 years hands-on prompt engineering.
• Strong written English; ability to craft precise, unambiguous instructions.
• 2–3 years data analysis or business analysis background.
• Proficient in at least one programming language.
• Solid understanding of LLM behavior, tokenization, context windows, and cost/performance trade-offs.

Mansioni

• Design, build, and optimize GenAI applications using Large Language Models (LLMs).
• Analyze structured and unstructured data to determine GenAI use cases and translate requirements into inputs and workflows.
• Integrate LLMs with APIs, databases, vector stores, and enterprise systems; build scalable, secure GenAI services.
• Produce clear prompts, design docs, evaluation criteria, and well-documented code and metrics.

Conoscenze

Generative AI

Prompt engineering

Written English

Data analysis

Programming

Strumenti

GenAI APIs

Vector databases

RAG architectures

APIs & microservices

Cloud platforms

Descrizione del lavoro

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

important, 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 modern 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