Software Engineer
Harnham
Dallas, TX · Posted October 8, 2026
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Where Dallas, TX ranks
Where Dallas, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best cities for construction and real estate jobs170 openings · of 13
- #2Best all-round cities for remote workers in the Southwest89 / 100 · of 15
- #2Best all-round cities for AI careers in the Southwest84 / 100 · of 15
- #3Cities with the most jobs that do not need a four-year degree in the Southwest401 jobs · of 38
- #3Best cities for software and engineering jobs in the Southwest772 openings · of 33
- #3Best all-round cities for mid-career professionals in the Southwest72 / 100 · of 15
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 816 open software engineer listings that state pay, the middle half runs $150,000 to $247,000 and the median is $192,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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Software Engineer
Dallas hybrid | $190,000 to $225,000 base + 20% bonus
This is an opportunity to join a highly visible innovation team building AI-enabled software that supports major commercial decisions at scale. You’ll work at the intersection of software engineering, machine learning, product development, and analytics, helping create technology that directly influences investment and operational strategies across a large enterprise.
The Company
They are a well-established organisation operating within a large-scale, asset-backed industry, with a significant focus on data, analytics, and technology transformation. Their innovation team is bringing modern AI and predictive analytics capabilities into a traditionally underserved sector, creating products that deliver measurable business impact.
With strong executive sponsorship and engagement from senior stakeholders, the team is building next-generation tools that combine advanced analytics, machine learning, and intuitive product experiences. This is an environment where engineers can shape both the technology and the product roadmap.
The Role
You will join a growing product and engineering function responsible for developing a production-grade analytics platform used by investment and business stakeholders.
Responsibilities include:
Building and scaling full-stack applications that combine advanced analytics, AI capabilities, and intuitive user experiences
Designing and maintaining application infrastructure, APIs, and shared services
Working closely with product, design, analytics, and business stakeholders to define and deliver solutions
Developing software that brings machine learning and predictive analytics insights into day-to-day decision making
Contributing to architectural decisions and helping establish engineering best practices
Building AI-enabled workflows and tools that support repeatable, high-quality analytical processes
Improving development, deployment, testing, and operational processes
Supporting a collaborative, high-performing engineering culture through code reviews and knowledge sharing
Your Skills & Experience
Strong commercial experience in full-stack software engineering
Excellent Python development skills
Commercial experience with React, TypeScript, Node.js, or comparable modern web technologies
Experience building and deploying production-ready applications
Understanding of machine learning, predictive analytics, or data science workflows
Experience developing AI-enabled products, LLM-powered features, or intelligent automation solutions
Strong API design and backend engineering capabilities
Familiarity with cloud platforms such as Microsoft Azure or AWS
Product-focused mindset with the ability to work through ambiguity and influence technical direction
Excellent stakeholder management and communication skills
Experience working with analytics, financial, real estate, or other data-intensive environments is advantageous
What They Offer
Opportunity to work on a flagship AI and predictive analytics platform
Exposure to senior business and executive stakeholders
High-impact work with significant commercial visibility
Strong career progression within a growing innovation function
Collaborative environment combining product, data science, and engineering expertise
How to Apply
If you’re a product-oriented Software Engineer with strong full-stack skills, Python expertise, and experience building AI-enabled applications, apply today to learn more about this opportunity.
To Apply for this Job Click Here