AI Engineer

Concord USA • Dallas-Fort Worth Metroplex, TX

12h • Hybrid

About The Position

We are seeking a skilled AI Engineer to join a client engagement focused on building and deploying intelligent, production-ready AI solutions. This is a hands-on role for someone who thrives at the intersection of large language models, applied ML, and real-world system design. You will work closely with cross-functional teams to implement AI-driven features that deliver measurable business impact.

Requirements

• Must be authorized to work legally in the US without sponsorship, now or in the future.
• 4–7 years of software engineering experience, with at least 2 years focused on AI/ML or LLM development.
• Strong Python proficiency.
• Hands-on experience with prompt engineering techniques (chain-of-thought, few-shot, system prompting, etc.).
• Experience fine-tuning LLMs (LoRA, PEFT, instruction tuning, or similar approaches).
• Solid understanding of RAG architecture — chunking strategies, embedding models, retrieval optimization.
• Experience designing and implementing agent workflows (tool use, memory, planning loops).
• Familiarity with multiple LLM providers and the ability to evaluate trade-offs across models.
• Technically fluent but able to communicate clearly in business terms — comfortable presenting architecture decisions to both engineering teams and executive stakeholders.
• Strategic thinker who operates well in high-stakes environments and can drive clarity.
• Collaborative leader who thrives in building alignment across cross-functional teams.

Nice To Haves

• Experience with vector databases (Pinecone, Weaviate, Chroma, pgvector).
• Cloud platform experience — AWS, Azure, or GCP.
• MLOps exposure: model versioning, deployment pipelines, monitoring (MLflow, Weights & Biases, etc.).
• Background in the retail industry — personalization engines, recommendation systems, inventory/demand forecasting, or customer-facing AI features is a strong plus.
• Familiarity with LLM evaluation frameworks (Ragas, DeepEval, etc.).
• Experience with multimodal models or vision-language applications.

Responsibilities

• Design, develop, and optimize LLM-powered applications using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) architectures.
• Build and maintain agentic workflows and multi-step AI pipelines using frameworks such as LangChain, LlamaIndex, or AutoGen.
• Evaluate, select, and integrate appropriate LLMs (OpenAI, Anthropic, Mistral, Llama, Gemini, etc.) based on use case requirements.
• Collaborate with data, product, and engineering teams to move AI solutions from prototype to production.
• Continuously monitor model performance, identify failure modes, and implement improvements.
• Document architecture decisions and maintain clean, scalable Python codebases.

Benefits

• Health, Dental, and Vision Insurance: Comprehensive coverage to support your overall well-being.
• Employer Contributions to Health Savings Accounts (HSA): For employees enrolled in High Deductible Health Plans, Concord contributes toward your HSA.
• Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a Lifestyle Spending Account (LSA) for wellness and personal development.
• Disability Insurance: Short-term (up to 12 weeks) and long-term coverage, fully paid by the employer.
• Life and AD&D Insurance: Employer-provided coverage with options for additional voluntary coverage.
• Employee Assistance Program (EAP): Support for legal, financial, and personal challenges.
• 401(k) Retirement Savings: 1% employer match.
• Career Growth Opportunities: Pathways for advancement and skill development.
• Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 251-500 employees