QA Automation (Selenium to Playwright Migration) & AI Engineer/Architect & Agentic AI Developer (3)

Job Title: QA Automation Engineer Selenium to Playwright Migration

Location: Bloomfield, CT and Lafayette, LA | Hybrid

Duration: 6-12 months with the possibility of extension

Essential Qualifications 5+ Years of Experience

• 5+ years of hands-on QA/QE experience, with strong expertise in automation testing using Selenium and Playwright for UI, functional, regression, and end-to-end testing.
• Proven experience designing and maintaining automation frameworks, reusable test components, API automation, test data management, and automated reporting.
• Strong knowledge of REST APIs, SQL, Git, Jira, Azure DevOps, CI/CD pipelines, Agile/Scrum methodologies, and modern DevOps practices.
• Working experience with Generative AI, Prompt Engineering, and AI-assisted Quality Engineering, including tools such as ChatGPT, GitHub Copilot, Cursor AI, and Microsoft Copilot.

Strong analytical, debugging, defect/RCA analysis, problem-solving, communication, and collaboration skills, with a focus on automation coverage and continuous quality improvement.

Position: 1

Job Title: AI Engineer/Architect

Location: Lafayette, Louisiana / Bloomfield, CT (Hybrid)

Job Description:

This Senior AI Engineer will be instrumental to design, develop, and lead enterprise grade Generative AI solutionsThis role requires deep hands-on expertise in Python, Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and agent-based architectures.

The role will work closely with the AI Center of Excellence (AI CoE) to ensure alignment with enterprise AI standards, governance, and best practices while driving adoption across delivery teams.

Required qualifications to be successful in this role

• 12+ years of professional software engineering and solution architecture experience, including hands on delivery of enterprise applications and platforms.
• 5+ years of AI/ML experience with recent hands-on delivery of production Generative AI and agentic AI solutions.
• Expert level Python skills and strong experience designing scalable, secure, production grade backend services using FastAPI.
• Hands on experience with LangGraph or a comparable framework for multi agent orchestration, including routing, handoffs, shared state, memory, tool use, recovery, and conversational continuity.
• Experience designing and implementing MCP servers and governing tools, resources, prompts, schemas, permissions, and lifecycle management within an agent ecosystem.
• Deep understanding of LLMs, prompt engineering, RAG, embeddings, vector search, memory patterns, function/tool calling, model evaluation, and guardrails.
• Proven experience designing AI powered chatbots, insights engines, or workflow automation solutions that integrate with enterprise APIs, data sources, and legacy systems.
• Strong knowledge of API and distributed system patterns, including streaming, asynchronous processing, middleware, rate limiting, authentication, authorization, resilience, and observability.
• Experience implementing LangSmith or equivalent AI observability, tracing, evaluation, debugging, and performance monitoring capabilities.
• Strong understanding of cloud native architecture, containers, CI/CD, security, privacy, responsible AI, and operational support for regulated enterprise workloads.
• Demonstrated ability to lead architecture decisions, mentor engineering teams, facilitate design reviews, and communicate complex tradeoffs to technical and business stakeholders.

Bachelor's degree in computer science, Engineering, or a related field, or equivalent professional experience.

Position: 2

Job Title: Agentic AI Developer

Location: Lafayette, LA/ Bloomfield, CT | Hybrid

Your future duties and responsibilities
Technical Leadership & Architecture
Development & Engineering
Collaboration with AI CoE
AI & LLM Expertise

Required qualifications to be successful in this role
At least 5+ years of professional software engineering experience, with strong hands-on expertise in Python or Java building scalable, production-grade applications.
. 2+ years in LangChain, LangGraph, LangSmith, prompt engineering, multi LLM/model orchestration, tool calling, RAG, evaluation, and deployment.
. Strong experience developing GenAI applications using LangChain and implementing observability, evaluation, and debugging using LangSmith or equivalent tools.
. Demonstrated experience delivering enterprise Generative AI solutions, including design and implementation of RAG, agentic, and multi-agent architectures.
. Proven hands-on experience with LLMs, including prompt engineering, optimization, evaluation, and lifecycle management in production environments.
. Experience designing and managing embeddings and vector-based retrieval pipelines using industry-standard vector databases or search platforms.
. Experience integrating GenAI solutions with enterprise platforms, APIs, and data sources, including structured data, documents, and unstructured content.
. Hands-on experience implementing tool/function calling, memory, and agent orchestration to support complex workflows and automation use cases.
. Experience working with multimodal AI solutions involving text, documents, and images.
. Proven ability to evaluate, select, and operationalize LLMs (e.g., OpenAI, Azure OpenAI, open-source) with a focus on performance, scalability, cost, and reliability.
. Experience collaborating with an AI Center of Excellence (AI CoE) to align on enterprise standards, reference architectures, and reusable components.
. Strong understanding of AI governance, security, responsible AI, and compliance requirements in regulated enterprise environments.
. Demonstrated experience leading and mentoring engineering teams, reviewing designs, and establishing repeatable patterns and best practices.
Required: Python, LangChain, LangGraph, LangSmith, prompt engineering, multi LLM/model orchestration, tool calling, RAG, evaluation, and deployment.

Position: 3

Job Title: AI Software Engineer
Location: Dallas, TX (Hybrid)

Required qualifications to be successful in this role
. Python & Web Frameworks: Demonstrated expertise in Python and at least one major web framework.
. API Development: Hands-on experience developing RESTful APIs using FastAPI and GraphQL API using Strawberry, with a solid understanding of web API architecture principles.
. Streaming Data Platforms: Experience working with streaming platforms such as Kafka or Event Hubs to develop real-time pipelines for processing and integrating streaming data.
. Database Management: Strong proficiency in designing, integrating, and managing multiple databases (e.g., PostgreSQL, MongoDB).
. Big Data & Distributed Computing: Experience working with big data processing frameworks such as Spark and Delta Lake for scalable data processing.
. Databricks: Hands-on experience with Databricks for collaborative data engineering and machine learning workflows.
. LLM APIs: Experience working with LLM APIs such as OpenAI, Llama, or other mainstream GenAI models.
. Cloud Computing & Azure Architecture: Good understanding of cloud computing concepts, scalability, and solution architecture, with a focus on Microsoft Azure
. Containerization (Docker) & Orchestration (Kubernetes): Experience deploying and managing applications using Docker containers and Kubernetes orchestration.
. CI/CD Pipelines: Experience creating and managing CI/CD pipelines to streamline the integration and deployment tasks using Azure DevOps or GitHub Actions.
. System Design: Proven experience with designing and building middle-size applications with around 5k daily active users.
. Concurrency Tools: Experience of handling high concurrency using multi-process, multithreading or actor model.
. Soft Skills: Excellent problem-solving abilities, attention to detail, and strong communication skills. Secondary / Desired Skills
. Model LLM Interface: Experience of using LangChain package to interact with GenAI model API.
. Full-Stack Development: Full-stack development experience is a bonus
. Familiarity with front-end technologies such as JavaScript, React, or Next.js.
. Specific Industry/Domain Knowledge: Specific industry/domain knowledge relevant to telecommunications will be preferable.