Senior GenAI Full-Stack Engineer

Description

Our client is seeking an AI Automation Engineer – SDLC & GenAI Platforms to support the continued expansion of its GenAI capabilities across Investment Technology. The written JD focuses on building and scaling AI-driven automation across the software delivery lifecycle, including requirements, design, development, testing, deployment, and auditability. The role also emphasizes Anthropic-based capabilities, agentic workflows, enterprise GenAI platforms, governance, and measurable business outcomes.

In practice, this is a full-stack AWS engineering role with a GenAI/LLM overlay. The ideal candidate is a hands-on engineer who can build cloud-native applications, integrate LLMs and agentic workflows, and work directly with investment professionals to deliver business-facing technology solutions.

The team is already operating in a mature GenAI environment, with production agents and workflows in place. This person will help build additional GenAI-enabled use cases across investment research, portfolio management, risk, SMA, onboarding, and related front-office investment workflows.

This is not a pure AI strategy, data science, MLOps, or prompt engineering role. Our client needs builders — engineers who can code, communicate, and deliver production-ready applications in a fast-moving, business-facing environment.

Key Responsibilities:

Full-Stack Application Development:

• Build and enhance cloud-native applications supporting the investment technology organization.

• Develop backend services, APIs, user interfaces, workflow tools, dashboards, and integrations using technologies such as Java, Python, React, Angular, and AWS.

• Own application functionality from business problem through design, development, testing, deployment, and support.

• Apply CI/CD, automated testing, and Test-Driven Development practices to deliver reliable production software.

GenAI / LLM Engineering:

• Design and build GenAI-enabled applications and workflows using LLMs, AI agents, RAG, prompt engineering, and model orchestration.

• Integrate AI capabilities into existing enterprise applications, SDLC tooling, CI/CD pipelines, cloud platforms, and business workflows.

• Work with AWS-based AI capabilities, including AWS Bedrock, and support model integration across multiple LLM providers.

• Leverage Anthropic / Claude capabilities where applicable, including prompt engineering standards, agent-based orchestration patterns, and secure model invocation.

Investment Technology Partnership:

• Partner directly with portfolio managers, research analysts, and investment professionals to understand business needs and build practical technology solutions.

• Translate ambiguous investment workflows into working software without relying on a traditional BA/QA-heavy handoff model.

• Support use cases across investment research, portfolio management, risk, SMA, client/sponsor onboarding, portfolio rebalancing, and investment oversight.

• Help improve the business’s ability to make investment decisions, expand research coverage, and generate measurable value.

Platform, Governance & Measurement:

• Build within a secure, governed, and auditable enterprise AI environment.

• Contribute to reusable architecture patterns, implementation standards, guardrails, and developer enablement.

• Help measure productivity, quality, cycle-time, developer experience, risk reduction, and business impact from GenAI-enabled solutions.

Skills:

LLM, GenAI, Java, Aws, python, AWS Bedrock, LLM observability, wealth management

Top Skills Details:

LLM,GenAI,Java,Aws,python

Additional Skills & Qualifications

• Ability to build full-stack applications using Java and/or Python with React and/or Angular.

• Strong AWS cloud-native development experience.

• Experience with CI/CD, automated testing, and Test-Driven Development.

• Hands-on experience building or integrating GenAI/LLM applications.

• Experience with AI agents, RAG, prompt engineering, model orchestration, or tool/function calling.

• Ability to work directly with business users and translate complex business problems into technical solutions.

• Strong written and verbal communication skills.

• Ability to explain complex technical concepts to business and executive stakeholders.

• Financial services experience preferred.

• Asset management, investment management, front-office technology, portfolio management, investment research, trading, risk, or wealth/SMA experience strongly preferred.

• Comfortable working in a fast-paced, highly collaborative environment where engineers are expected to own outcomes.

Experience Level

Expert Level

This is a Contract to Hire position based out of Boston, MA.

The pay range for this position is $90.00 - $110.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a hybrid position in Boston,MA.

This position is anticipated to close on Jun 7, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.