Generative AI Developer / Engineer/Analyst

Posted Yesterday
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Hiring Remotely in Karnataka, IND
Remote
Junior
Fintech • Software
The Role
Build production-grade generative AI applications using private LLMs, prompt engineering, RAG, vector search, APIs, and enterprise integrations. Develop full-stack applications, analyze structured and unstructured data, create LLM-driven workflows, validate model outputs, and support automation initiatives. The role emphasizes secure, reliable, governed GenAI solutions, including prompt evaluation, documentation, performance optimization, and collaboration with technical and business stakeholders.
Summary Generated by Built In

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.


Job Description


Job Title

Generative AI Developer / Engineer/Analyst

Experience
  • 2–3 years of hands-on experience in Generative AI / LLM-based solutions
     

  • 2–3 years of experience in data analysis, business analysis, or analytics-driven roles

  • 1–3 years of experience in prompt engineering

Role Summary

We are looking for a Generative AI Developer who can build end-to-end, production-grade applications using Generative AI. The ideal candidate is a strong technologist with experience across web applications, data analysis, and automation, and who understands that GenAI development is as much about language, data, and business context as it is about code.

This role focuses on building solutions using internal / private LLMs, emphasizing security, reliability, and enterprise integration over public API experimentation.

Key ResponsibilitiesGenerative AI & Prompt Engineering
  • Design, develop, and optimize applications leveraging internal LLM platforms

  • Create, test, and maintain high-quality prompts to drive accurate and predictable outputs

  • Apply advanced prompting techniques including:

    • Few-shot prompting

    • Prompt chaining

    • RAG (Retrieval-Augmented Generation)

  • Establish prompt evaluation and versioning practices

End-to-End Application Development
  • Build full-stack, end-to-end GenAI applications

  • Design and implement backend services integrating LLMs with enterprise systems

  • Develop or collaborate on web-based user interfaces

  • Integrate GenAI capabilities into existing applications and workflows

Web & Technology Stack
  • Work with modern web technologies, such as:

    • REST APIs

    • Web frameworks (React, Angular, Vue, or equivalent)

    • Backend services (Node.js, Java, Python, .NET, etc.)

  • Understand client-server architecture and web security fundamentals

  • Build scalable, maintainable application architectures

Data, Analysis & Automation
  • Analyze structured and unstructured data for GenAI use cases

  • Translate business requirements into LLM-driven workflows

  • Perform data validation, transformation, and analysis to support AI pipelines

  • Collaborate with automation teams; experience with Blue Prism is a plus

Enterprise & Governance
  • Build solutions aligned with enterprise security, compliance, and governance standards

  • Work with private/internal LLMs, ensuring data privacy and controlled usage

  • Document design decisions, prompts, and system behavior clearly

Required Skills & QualificationsCore Requirements
  • 2–3 years experience building GenAI / LLM-based applications

  • 1–3 years hands-on experience with prompt engineering

  • Strong written English skills (critical for prompt design and documentation)

  • Data analysis or business analysis experience (2–3 years)

  • Ability to code in at least one modern programming language (language-agnostic mindset)

  • Experience building end-to-end applications, not just models or scripts

Technical Skills
  • Experience with:

    • Internal / private LLM platforms

    • RAG architectures and vector search

    • APIs and service-oriented architecture

  • Solid understanding of:

    • LLM limitations (hallucinations, bias, drift)

    • Evaluation and validation of model outputs

    • Cost, latency, and performance trade-offs

Preferred / Nice-to-Have Skills
  • Blue Prism RPA experience

  • Experience with enterprise web applications

  • Familiarity with LLMOps / MLOps concepts

  • Knowledge of document-heavy domains (contracts, agreements, reports)

  • Experience working in regulated or enterprise environments

Mindset & Attributes
  • Strong analytical and problem-solving skills

  • Comfortable working across language, data, and code

  • Business-focused with an outcome-driven mindset

  • Able to explain GenAI behavior to technical and non-technical audiences

Why Join Us
  • Build real, production-grade GenAI applications

  • Work with secure, internal LLM platforms

  • Influence how GenAI is adopted responsibly at scale

  • Be part of an end-to-end engineering team, not a siloed AI lab




Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.




Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Skills Required

  • 2–3 years of hands-on experience building Generative AI or LLM-based applications
  • 2–3 years of experience in data analysis, business analysis, or analytics-driven roles
  • 1–3 years of hands-on prompt engineering experience
  • Strong written English skills
  • Ability to code in at least one modern programming language
  • Experience building end-to-end applications, not only models or scripts
  • Experience with internal or private LLM platforms
  • Experience with RAG architectures and vector search
  • Experience with APIs and service-oriented architecture
  • Understanding of LLM limitations, output evaluation, validation, cost, latency, and performance trade-offs
  • Blue Prism RPA experience
  • Experience with enterprise web applications
  • Familiarity with LLMOps or MLOps concepts
  • Knowledge of document-heavy domains such as contracts, agreements, or reports
  • Experience working in regulated or enterprise environments

SS&C Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SS&C Technologies and has not been reviewed or approved by SS&C Technologies.

  • Leave & Time Off Breadth — Leave policies are described as generous, including flexible or unlimited vacation and broadly positive views of PTO as a meaningful part of the overall package.
  • Retirement Support — Retirement benefits are positioned as a notable strength, with repeated references to a 401(k) plan with company matching as a valued component of rewards.
  • Equity Value & Accessibility — Equity and stock-related incentives are highlighted as a bright spot, with stock incentives described as excellent in some roles and contributing positively to perceived total rewards.

SS&C Technologies Insights

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The Company
HQ: Birmingham, AL
22,000 Employees
Year Founded: 1986

What We Do

SS&C is a global provider of investment and financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 22,000+ employees in over 150 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services.

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